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Stephen Hsu
View on WikipediaKey Information
| Stephen Hsu | |
|---|---|
| Simplified Chinese | 徐道辉 |
| Traditional Chinese | 徐道輝 |
| Hanyu Pinyin | Xú Dào Huī |
Stephen Dao Hui Hsu (born 1966) is an American physicist, a startup founder, and a former university administrator.
Early life and education
[edit]Hsu was born and raised in Ames, Iowa.[1] His father Cheng Ting Hsu (1923–1996), who was born in Wenling, Zhejiang, in what was then the Republic of China, was a professor of aerospace engineering at Iowa State University in Ames from 1958 to 1989.[2] Stephen Hsu's mother was also originally from China, and Hsu had a grandfather who served as a general in the National Revolutionary Army of the Chinese Kuomintang government.[1] At age 12, Hsu took physics and mathematics courses at Iowa State while attending Ames High School.[3][4][5]
Hsu received a B.S. from the California Institute of Technology (Caltech) in 1986 at age 19, and a Ph.D. from the University of California, Berkeley in 1991. After his doctorate, he was a Harvard Junior Fellow and Superconducting Super Collider Fellow from 1991 to 1994.

Career
[edit]In 1995, he became an assistant professor at Yale University before moving to the University of Oregon in 1998, where he became a full professor of theoretical physics and director of the Institute of Theoretical Science. Hsu's research has focused on a number of areas in particle physics and cosmology, including phase transitions in the early universe, the ground state of quark matter at high density,[6] black holes[7] and quantum information,[8] minimum length from quantum gravity,[9] dark energy,[10] and quantum foundations.[11]
In July 2012, Michigan State University named him vice president for research and graduate studies. At the time, Inside Higher Ed and Lansing State Journal described the appointment as controversial, due to Hsu's comments endorsing research into using genetic modification to increase human intelligence, and his blog posts describing human race categorization as biologically valid.[12][13]
On June 10, 2020, the MSU graduate student union began calling for Hsu to be removed from the administrative position. The MSU student association also called for his removal, and multiple petitions were circulated, including a counter-petition.[14][15] As of June 17, petitions for removal had 700 and 470 signatures, while the counter petition had over 970 signatures.[16] On June 19, 2020 MSU president Samuel L. Stanley announced that Hsu had resigned as vice president, returning to a tenured faculty position.[16][14] Hsu said that Stanley had requested his resignation, and that he did not agree with Stanley's decision.[17]
Technology work
[edit]In 2000, Hsu went on leave from the University of Oregon to create Safeweb, an anonymizer service.[18][1] In 2003, SafeWeb was acquired by Symantec for its SSL VPN technology.[19]
In 2013, he served as scientific adviser to BGI (formerly Beijing Genomics Institute), and as a member of its Cognitive Genomics Lab.[20]
Hsu is a founder of Genomic Prediction, a company that develops genetic testing for IVF embryos.[21][22] Hsu has an interest in psychometrics[23] and human genetic variation, which he writes about in his blog and in other publications.[24][25][26][27]
In 2017, Hsu and five collaborators published a paper in Genetics on the use of lasso to construct genomic predictors of complex human traits (height, bone density, cognitive ability), using data from the UK Biobank. Their genotype height predictor estimated adult height within an accuracy of roughly one inch.[28]
In 2018 his research group used the method on the same dataset to build genomic predictors for complex diseases such as hypothyroidism, (resistive) hypertension, type 1 and 2 diabetes, breast cancer, prostate cancer, testicular cancer, gallstones, glaucoma, gout, atrial fibrillation, high cholesterol, asthma, basal cell carcinoma, malignant melanoma, and heart attack. Outliers in risk score (e.g., 99th percentile) were shown, in out-of-sample validation tests, to have up to ten times the risk of ordinary individuals for the specific conditions.[29][30] The predictors use as input information dozens to thousands of common SNPs measured for each individual.[22]
References
[edit]- ^ a b c Kopytoff, Verne (September 4, 2001). "CEO says Safeweb plan will help open China". San Francisco Chronicle. Archived from the original on July 20, 2003. Retrieved June 28, 2020.
- ^ Hsu, Steve (April 1, 2008). "Hsu scholarship at Caltech". Information Processing. Retrieved June 28, 2020.
- ^ Hsu, Steve (November 9, 2010). "School daze". Information Processing. Blogspot. Retrieved June 28, 2020.
- ^ Hsu, Stephen (December 7, 2014). "Feynman Lectures: Epilogue". Michigan State University. Retrieved June 28, 2020.
- ^ Hsu, Steve (August 26, 2012). "Back in the MACT". Information Processing. Blogspot. Retrieved June 28, 2020.
- ^ Evans, Nick; Hormuzdiar, James; Hsu, Stephen D.H.; Schwetz, Myck (2000). "On the QCD ground state at high density". Nuclear Physics B. 581 (1–2): 391–408. arXiv:hep-ph/9910313. Bibcode:2000NuPhB.581..391E. doi:10.1016/S0550-3213(00)00253-4. S2CID 14766144.
- ^ Hsu, Stephen D.H. (2003). "Quantum production of black holes". Physics Letters B. 555 (1–2): 92–98. arXiv:hep-ph/0203154. Bibcode:2003PhLB..555...92H. doi:10.1016/S0370-2693(03)00012-1. S2CID 5793284.
- ^ Hsu, Stephen D. H.; Reeb, David (2009). "Black holes, information, and decoherence". Physical Review D. 79 (12) 124037. arXiv:0903.2258. Bibcode:2009PhRvD..79l4037H. doi:10.1103/PhysRevD.79.124037. S2CID 119189621.
- ^ Calmet, Xavier; Graesser, Michael; Hsu, Stephen D. H. (2004). "Minimum Length from Quantum Mechanics and Classical General Relativity". Physical Review Letters. 93 (21) 211101. arXiv:hep-th/0405033. Bibcode:2004PhRvL..93u1101C. doi:10.1103/PhysRevLett.93.211101. PMID 15600988. S2CID 6699522.
- ^ Hsu, Stephen D.H. (2004). "Entropy bounds and dark energy". Physics Letters B. 594 (1–2): 13–16. arXiv:hep-th/0403052. Bibcode:2004PhLB..594...13H. doi:10.1016/j.physletb.2004.05.020. S2CID 14447957.
- ^ Hsu, Stephen D.H (2015). "The measure problem in no-collapse (many worlds) quantum mechanics". arXiv:1511.08881 [quant-ph].
- ^ Miller, Matthew (October 7, 2012). "From 2012: New MSU VP for research has start-up experience, but controversial views concern some". Lansing State Journal. Retrieved June 18, 2020.
The concerns HoSang laid out in his letter went beyond the BGI project. They were equally about positions Hsu had taken in his blog years earlier: that race is "clearly" a valid biological concept, that whether there are more-than-superficial differences between groups (in areas such as cognitive ability, personality and athletic prowess) is an open question.
- ^ Flaherty, Colleen (May 29, 2013). "Quest for 'Genius Babies'?". Inside Higher Ed. Retrieved June 28, 2020.
- ^ a b Guzman, Wendy (19 June 2020). "Michigan State VP of Research Stephen Hsu resigns". The State News. Retrieved 20 June 2020.
- ^ Lyons, Craig (15 June 2020). "Petition seeks removal of MSU VP of research over controversial comments, research". Lansing State Journal. USA Today. Retrieved 20 June 2020.
- ^ a b "MSU VP of Research resigns after calls to be removed". WLNS.com. No. 20 June 2020. Nexstar. Retrieved 21 June 2020.
- ^ "Resignation". infoproc.blogspot.com. Retrieved 19 June 2020.
- ^ "Punching Holes In Internet Walls". The New York Times. 2001-04-26. Retrieved 2020-05-19.
- ^ "Symantec purchases SSL VPN maker SafeWeb". Retrieved 2020-06-21.
- ^ Yong, Ed (May 16, 2013). "Chinese project probes the genetics of genius". Nature News. 497 (7449): 297–299. Bibcode:2013Natur.497..297Y. doi:10.1038/497297a. PMID 23676731.
- ^ "Modern genetics will improve health and usher in "designer" children". The Economist. 2019-11-07. Retrieved 2020-04-23.
- ^ a b "Polygenic Risk Scores and Genomic Prediction: Q&A with Stephen Hsu". genengnews.com. 2019-04-01. Retrieved 2020-05-13.
- ^ Clynes, Tom (2016-10-06). "Where Nobel winners get their start". Nature. 538 (7624): 152. Bibcode:2016Natur.538..152C. doi:10.1038/nature.2016.20757. PMID 27734890. S2CID 4466329.
- ^ "Nautilus Magazine: Super-Intelligent Humans". nautil.us. 2014-10-16. Retrieved 2015-12-23.
- ^ "Nautilus Magazine: Smart Machines". nautil.us. 2015-09-03. Retrieved 2015-12-23.
- ^ Hsu, Stephen D. H. (2014). "Genetic Architecture of Intelligence". arXiv:1408.3421 [q-bio.GN].
- ^ "Intelligence.org: Hsu on Cognitive Genomics". intelligence.org. 2013-08-31. Retrieved 2015-12-23.
- ^ Lello, Louis; Avery, Steven G.; Tellier, Laurent; Vazquez, Ana; Campos, Gustavo de los; Hsu, Stephen D. H. (2017-09-18). "Accurate Genomic Prediction Of Human Height". Genetics. 210 (2): 477–497. arXiv:1709.06489. Bibcode:2017arXiv170906489L. bioRxiv 10.1101/190124. doi:10.1534/genetics.118.301267. PMC 6216598. PMID 30150289.
- ^ Hsu, Stephen D. H.; Tellier, Laurent CAM; Yong, Soke Yuen; Raben, Timothy; Lello, Louis (2018-12-27). "Genomic Prediction of Complex Disease Risk". bioRxiv 10.1101/506600.
- ^ "AI and the Genetic Revolution". Harvard Business Review. 2019-05-08. ISSN 0017-8012. Retrieved 2019-05-20.
External links
[edit]Stephen Hsu
View on GrokipediaBiography
Early life and education
Stephen Hsu was born in 1966 to parents of Chinese descent.[10] He demonstrated early talent in science, completing his undergraduate studies at the California Institute of Technology in just three years and earning a B.S. in physics in 1986 at age 19.[11] [12] His Caltech graduation was attended by Richard Feynman, with whom he was photographed.[13] Hsu then pursued graduate work in theoretical physics at the University of California, Berkeley, obtaining his Ph.D. by age 24.[2] [14]Academic career
Theoretical physics research
Hsu's research in theoretical physics centers on applications of quantum field theory to problems in quantum chromodynamics, dark energy, black holes, cosmology, and particle physics beyond the Standard Model.[2] His contributions include explorations of entropy bounds, where he linked holographic principles to the cosmic acceleration attributed to dark energy in a 2004 analysis published in Physics Letters B.[3] This work examined how fundamental limits on information content could constrain cosmological models, yielding testable predictions aligned with observations of the universe's expansion.[3] In black hole physics, Hsu co-developed the "quantum hair" hypothesis with Xavier Calmet, positing that infalling matter imprints subtle quantum modifications—termed "hair"—on a black hole's external gravitational field, preserving information that would otherwise be lost in Hawking radiation.[15] Detailed in a 2021 arXiv preprint and subsequent publications, this framework addresses the black hole information paradox by showing how quantum gravity effects allow recovery of internal state data from horizon exterior measurements.[16] [17] Earlier, he investigated colorful quantum black holes potentially observable at the Large Hadron Collider, integrating quantum chromodynamics with gravitational collapse scenarios in a 2008 Physics Letters B paper.[3] Hsu has also addressed foundational issues, such as solutions to the strong-CP problem incorporating gravitational effects, and broader quantum field theory applications to cosmology.[3] Over his career, he has produced more than 100 peer-reviewed articles in these areas, emphasizing rigorous, empirically grounded extensions of established theories.[4]Quantitative genetics and intelligence research
Hsu's research in quantitative genetics has focused on elucidating the genetic architecture of complex traits, particularly intelligence, using methods from statistical physics and machine learning. In a 2014 analysis, he applied compressed sensing techniques—such as L1-penalized regression—to model the impact of single nucleotide polymorphisms (SNPs) on traits like cognitive ability, arguing that intelligence, measured via general factor g, exhibits high narrow-sense heritability (typically 50-80%) dominated by additive genetic effects from numerous small-effect variants.[18] He estimated that approximately 10,000 causal variants, often moderately rare, underlie significant variation in intelligence and height, enabling predictive modeling once sufficient genomic data is available.[18] To capture most heritable variance in cognitive ability, Hsu predicted that genome-wide association studies (GWAS) would require sample sizes on the order of 1 million individuals, contrasting with smaller scales needed for simpler traits like height.[18] This framework emphasized sparse recovery of causal signals from high-dimensional SNP data, bypassing limitations of traditional GWAS that assume common variants of large effect. Subsequent empirical work has aligned with these projections: polygenic scores derived from large-scale GWAS (e.g., over 1 million participants for educational attainment as an intelligence proxy) now explain 10-15% of variance in cognitive outcomes, with advanced methods like those Hsu advocated achieving correlations of 0.4 to 0.5 with direct IQ measures in validation cohorts.[19] Hsu has extended this to broader polygenic prediction of human traits, co-authoring reviews on transitioning from genotype to phenotype via machine learning on GWAS summary statistics. His analyses underscore the polygenic nature of intelligence, where thousands of loci contribute incrementally, and highlight applications like within-family validation to mitigate environmental confounds, confirming genetic influences on g-loaded traits.[19] These contributions have informed practical genomic tools, though Hsu notes persistent challenges in rare variant detection and cross-population transferability due to linkage disequilibrium differences.Administrative roles
Vice President for Research at Michigan State University
In July 2012, Michigan State University (MSU) appointed Stephen Hsu as Vice President for Research and Graduate Studies, effective August 20, 2012.[20][21] The appointment was described as unconventional, given Hsu's background as a theoretical physicist and entrepreneur rather than a traditional academic administrator.[22] Hsu's responsibilities included overseeing MSU's research enterprise, which involved more than $700 million in annual expenditures by the late 2010s; administering internal grant funding; and ensuring compliance with ethical, legal, and regulatory standards for research activities.[9][22] His office managed a broad portfolio encompassing sponsored research, technology transfer, and graduate education initiatives.[23] During Hsu's tenure, MSU's research expenditures grew substantially, rising from approximately $515 million in 2013 to $715 million in 2018, reflecting a 39 percent increase.[24][25] This expansion contributed to improved national rankings in research spending and positioned MSU as the top recipient of Department of Energy research expenditures among public universities.[24][26] The role's title evolved to Senior Vice President for Research and Innovation, and Hsu served in the position for eight years until July 2020.[27][7]Entrepreneurial ventures
SafeWeb
SafeWeb, Inc. was founded in 2000 by Stephen Hsu, then on leave from the University of Oregon, along with a team of physics PhDs, to develop internet privacy and security technologies.[28] [29] The company specialized in encryption tools and anonymizer services, enabling users to access the web without leaving digital traces, which proved particularly valuable for individuals in regions with internet censorship, such as China.[22] [1] Its core offering included pioneering Secure Sockets Layer (SSL) Virtual Private Network (VPN) appliances, which facilitated secure remote access and data protection over public networks.[30] [2] The startup attracted $9 million in venture capital funding by 2001 and served millions of users worldwide, establishing itself as an early leader in the SSL-VPN market.[31] [32] In February 2001, SafeWeb received a commission from In-Q-Tel, the venture capital arm of the U.S. Central Intelligence Agency, to advance its privacy technologies for secure communications, highlighting the dual-use potential of its tools for both individual users and government applications.[33] Hsu, as co-founder and CEO, emphasized that the company's mission balanced privacy for individuals with broader security needs, stating it did not require choosing between the two.[33] [31] SafeWeb was acquired by Symantec Corporation on October 15, 2003, for approximately $26 million, after roughly three years of operation.[30] [28] The acquisition integrated SafeWeb's SSL-VPN innovations into Symantec's broader enterprise security portfolio, contributing to advancements in remote access solutions.[30] This exit marked Hsu's first major entrepreneurial success, predating his subsequent ventures in genomics and AI.[28]Genomic Prediction
Genomic Prediction Inc. was incorporated on May 1, 2017, in Delaware, with Stephen Hsu serving as a co-founder alongside Nathan Treff and Laurent Tellier.[34][35] The company develops genomic technologies for in vitro fertilization (IVF), specializing in preimplantation genetic testing for polygenic traits (PGT-P), which uses polygenic risk scores (PRS) derived from embryo genotypes to predict risks for complex diseases and traits such as type 2 diabetes, breast cancer, coronary artery disease, and schizophrenia.[36][37] Unlike traditional preimplantation genetic testing for monogenic disorders, PGT-P analyzes thousands of genetic variants to generate an aggregate health score for each embryo, facilitating selection of those with the lowest predicted disease risks among a typical cohort of 5–20 embryos.[36][38] The firm's core technology relies on machine learning models trained on large-scale genomic datasets from biobanks like the UK Biobank, enabling predictions of polygenic phenotypes with accuracies improving over time; for instance, PRS for traits like height or educational attainment have achieved correlations of up to 0.4 with observed outcomes in validation cohorts.[19][39] Genomic Prediction's Embryo Health Score test, launched commercially around 2019, integrates these PRS to simultaneously reduce risks across multiple conditions, claiming to increase viable embryo availability, lower miscarriage rates by identifying higher-risk candidates, and boost live birth rates compared to standard IVF practices.[36][40] The service requires biopsy of trophectoderm cells from blastocyst-stage embryos, followed by whole-genome sequencing or genotyping to compute scores without additional parental sampling beyond routine IVF protocols.[36] Hsu's contributions center on advancing predictive algorithms for complex traits, drawing from his expertise in AI and quantitative genetics to scale PRS accuracy for embryo-scale applications, where predictions must account for limited sample sizes and environmental interactions.[37][41] He has argued that iterative embryo selection across generations could yield substantial gains, such as 5–15 IQ points per cycle based on current PRS heritabilities of 10–20% for cognitive traits, potentially accelerating human capital improvements beyond natural selection rates.[19][39] While proponents highlight empirical validation from GWAS meta-analyses underpinning these models, limitations persist, including PRS portability across ancestries and modest effect sizes in small embryo sets, which reduce selection differentials to fractions of a standard deviation for most traits.[42][43] The company operates clinics and partners with fertility centers globally, positioning PGT-P as a tool for proactive health optimization in reproductive medicine.[34]AI and other technology initiatives
In 2020, Hsu co-founded SuperFocus.ai with Tushar Sheth, a company developing large language model-based AI agents equipped with memory modules that utilize private data to minimize hallucinations and enable reliable performance in specialized tasks.[44][45] The firm's technology focuses on creating "superhuman" AI systems capable of reading, writing, listening, speaking, thinking, deciding, and acting across multiple languages, cultures, and industries, with applications in automating business processes such as patient intake calls and financial diligence reviews that reduce processing time from weeks to days while maintaining near-zero error rates.[46][47] SuperFocus.ai, backed by investors including Cercano Management, emphasizes integration of proprietary datasets to enhance AI accuracy in real-world deployments.[48] Hsu has also founded Othram, a genomics technology company launched around 2018 that applies whole-genome sequencing and advanced bioinformatics to forensic investigations, generating investigative leads from trace or degraded DNA samples in cold cases where traditional short tandem repeat methods fail.[6][49] Othram's platform has contributed to solving over 100 previously unsolved violent crimes by identifying more than 500,000 genetic markers per sample, enabling matches to distant relatives in public databases and producing probabilistic genealogical trees for law enforcement.[50] The company operates a private lab in The Woodlands, Texas, processing samples that yield exome-level resolution for superior sensitivity compared to commercial forensic kits.[39]Intellectual contributions and views
Writings and public commentary
Hsu maintains the blog Information Processing, initiated on Google's Blogspot platform in 2004 and transferred to Substack in May 2024, where he publishes essays on theoretical physics, quantitative genetics, artificial intelligence, human capital, and geopolitical analysis.[51][1][52] The blog features detailed commentaries grounded in data, such as a 2023 post analyzing PISA scores to highlight cognitive performance disparities across nations and implications for global prospects.[53] Earlier entries include explorations of military technology, like a 2021 essay on low-earth-orbit synthetic aperture radar and hypersonic weapons' potential to disrupt naval strategies.[54] In peer-reviewed and popular outlets, Hsu has contributed essays on genetic enhancement, notably "Super-Intelligent Humans Are Coming" in Nautilus magazine on October 2, 2014, arguing that advances in genetic engineering could produce individuals with unprecedented cognitive abilities through embryo selection.[55] He addressed criticisms of his research interests in a 2012 blog post titled "My 'controversial views,'" clarifying his empirical focus on intelligence and genetics while rejecting eugenicist labels.[56] Hsu extends his commentary through podcasts and interviews, hosting the Manifold podcast since at least 2019, with episodes on quantum mechanics (e.g., Hugh Everett III's multiverse theory), AI trajectories, and U.S.-China relations as of 2024.[57] Guest appearances include a 2022 interview with Dwarkesh Patel on polygenic scores for intelligence prediction and embryo selection efficacy, and a 2024 discussion on China's economy and technology decoupling.[58][59] These platforms emphasize data-driven analysis over institutional consensus, often critiquing biases in media and academia on topics like IQ heritability.[60]Perspectives on human intelligence, genetics, and embryo selection
Hsu maintains that human intelligence, as measured by IQ, is a highly heritable trait, with genetic factors accounting for a substantial portion of variance based on twin and adoption studies showing correlations proportional to genetic relatedness.[55] He emphasizes its polygenic architecture, involving thousands of genetic variants—estimated at 10,000 to 20,000—each contributing small additive effects of less than one IQ point, rather than rare large-effect mutations.[55][58] Polygenic scores derived from genome-wide association studies (GWAS) currently predict cognitive ability with correlations of 0.3 to 0.4 against actual IQ, capturing around 10-15% of variance, though Hsu anticipates improved accuracy, such as a standard error of about 10 IQ points, with datasets of 1-2 million well-phenotyped individuals.[37] These scores also proxy intelligence through educational attainment, where individuals in the top quintile are approximately five times more likely to complete college than those in the bottom quintile.[61] Regarding genetics more broadly, Hsu views complex traits like intelligence as predictable via machine learning on large genomic datasets, analogous to quantitative models in physics, with additive genetic effects dominating over interactions.[58] He notes environmental influences, such as deprivation reducing observed heritability, but argues that in favorable conditions, genetic prediction strengthens, as seen in height, where polygenic scores explain a larger variance fraction.[55] Advances in GWAS, requiring samples exceeding 100,000 individuals, enable identification of causal variants, countering earlier underestimations of genetic influence due to insufficient data.[55] On embryo selection, Hsu advocates using preimplantation genetic testing for polygenic traits (PGT-P) during in vitro fertilization (IVF) to select embryos with favorable polygenic scores, arguing that parents should be informed of differences in predicted outcomes, such as educational success or cognitive potential, absent other distinguishing factors.[61] Through his co-founding of Genomic Prediction, the company applies this to screen for disease risks, yielding gains like four additional disability-adjusted life years when selecting from 10 embryos, but Hsu extends the logic to intelligence, estimating feasible IQ boosts of several points—potentially 15 or more with genotyping of zygotes and selection among dozens of embryos from young donors.[58][37] He posits that iterative selection or gene editing via CRISPR could generate "super-intelligent" humans with IQ equivalents exceeding 1,000, drawing parallels to extreme trait enhancements in domesticated species over 100 standard deviations.[55] Ethically, Hsu contends there is no inherent wrong in selecting for intelligence, viewing societal resistance as often ideologically driven rather than empirically grounded, and supports broad access—potentially via public health systems—to mitigate inequality.[58][37]Views on artificial intelligence, technology policy, and geopolitics
Hsu has expressed optimism about the rapid advancement of artificial intelligence, noting its potential to surpass human capabilities in scientific research within a century through neural networks handling complex tasks like physics modeling.[39] He has firsthand experience deploying proprietary AI models for frontier research in physics, attesting to their growing power while cautioning against overhype in public discourse.[62] Regarding AI risks, Hsu argues the alignment problem for advanced general intelligence is likely intractable due to inherent complexities in controlling superintelligent systems, potentially leading to unpredictable outcomes rather than deliberate catastrophe.[39] On technology policy, Hsu advocates for U.S. incentives such as financial subsidies to accelerate domestic AI development, emphasizing the need to counter regulatory stifling of innovation amid cultural and bureaucratic hurdles.[63] He criticizes mid-level policymakers in government for lacking technical depth, which hampers effective strategy in emerging technologies.[64] In academia and industry, he highlights how ideological conformity pressures slow progress in fields like AI and genomics compared to the pace of model training.[5] In geopolitical terms, Hsu views U.S.-China rivalry as a high-stakes contest for AI supremacy, driven by China's meritocratic talent pipeline and production of approximately eight times as many new engineers and technologists annually as the U.S.[65] He contends China's rise in technology is inevitable for the next 30-40 years, fueled by a youthful, educated workforce, and urges realistic acknowledgment of Beijing's strengths in innovation, including advanced systems like DeepSeek.[66] [63] Policies like export controls on chips, in his assessment, risk backfiring by spurring Chinese self-reliance, while tariffs under figures like Trump reflect broader tensions but fail to address underlying talent and investment gaps.[67] [63] Hsu warns that American cultural and regulatory missteps could cede leadership, positioning China as an AI superpower reshaping global order.[68]Controversies
Resignation from MSU administrative role
On June 19, 2020, Stephen Hsu resigned as senior vice president for research and innovation at Michigan State University (MSU), effective July 1, at the request of university president Samuel L. Stanley Jr.[69][70] Stanley cited "serious issues of academic freedom and how we evaluate research" at MSU as the rationale, following public backlash against Hsu's public commentary and associations with research on human intelligence, genetics, and related topics.[71][9] Hsu agreed to step down, noting that he served at the president's pleasure, but expressed disagreement with the decision and concern for MSU's reputation in supporting empirical inquiry.[70] The resignation was precipitated by campaigns from the MSU Graduate Employees Union (GEU) and over 500 faculty members, who petitioned for Hsu's removal, accusing him of promoting "scientific racism" and eugenics through podcast interviews, blog posts, and support for studies on intelligence differences, police shootings, and diversity initiatives.[72][9] These efforts, amplified on social media, portrayed Hsu's endorsement of data-driven research on polygenic scores for traits like educational attainment and IQ as ideologically harmful and incompatible with MSU's diversity, equity, and inclusion commitments.[8][73] Hsu refuted the claims, asserting that his positions reflected peer-reviewed evidence rather than prejudice, and highlighted a counter-petition signed by over 2,400 individuals defending his commitment to scientific rigor.[70][74] Critics of the petitions, including commentators in outlets like Quillette and The Wall Street Journal, argued that the ouster exemplified ideological intolerance toward heterodox research on sensitive topics, potentially chilling inquiry into genetically influenced traits amid broader academic pressures favoring conformity over evidence.[8][75] Hsu retained his tenured faculty position in physics and continued research affiliations at MSU post-resignation.[69][70]Criticisms regarding views on race, IQ, and scientific inquiry
The Michigan State University Graduate Employees Union (GEU) petitioned for Stephen Hsu's removal from administrative roles in June 2020, citing his public statements and blog posts on genetic influences on intelligence, including references to potential racial differences in IQ as discussed in a 2017 interview linking high IQ scores to predictable academic outcomes.[76] The union argued that such views, combined with Hsu's opposition to certain diversity hiring practices—such as his 2017 blog analysis of Google's initiatives claiming fewer highly competent female candidates in technical fields—created a hostile environment for graduate students and contradicted the university's diversity, equity, and inclusion commitments.[76] Critics from organizations like the Center for Genetics and Society described Hsu as a "vocal scientific racist and eugenicist," focusing on his co-founding of Genomic Prediction in 2017, which uses polygenic risk scores for embryo selection to avoid low-intelligence outcomes, and his earlier collaboration with the Beijing Genomics Institute (BGI) to sequence genomes from over 2,000 high-IQ individuals in search of intelligence-associated alleles.[77] These efforts were portrayed as advancing eugenics by enabling parental selection for cognitive traits, with the BGI project criticized for potentially supporting state-directed genetic optimization in China.[77] [78] In 2013, amid fallout from Jason Richwine's Harvard dissertation on racial IQ differences, media outlets like Vice scrutinized Hsu's BGI research for its ethical risks, including the possibility of embryo screening for genius-level intelligence and unintended reinforcement of racial stereotypes through genetic findings.[78] Activist scholars raised concerns that Hsu's acceptance of race as a biologically valid category, as articulated in his blog posts on human genetic variation and FST statistics debunking Lewontin's fallacy, overlooked social constructions of race and could legitimize discriminatory applications of genomics.[78] The GEU further claimed Hsu's promotion of such inquiry undermined scientific norms by associating with figures and ideas deemed fringe, including alleged endorsements of white supremacist viewpoints.[77]Defenses emphasizing empirical evidence and academic freedom
In response to the Graduate Employees Union petition seeking Hsu's removal from his administrative role at Michigan State University in June 2020, a counter-petition was circulated and signed by numerous academics, including psychologists Richard Haier and Robert Plomin, emphasizing the importance of academic freedom and scientific integrity.[79] The counter-petition argued that there was "zero concrete evidence" of unfair conduct by Hsu in his administrative duties and warned that yielding to ideological pressures would undermine open inquiry into human variation, particularly in fields like genetics and cognitive science.[80] Signatories contended that Hsu's expressed views on intelligence and genomics aligned with established empirical findings, such as twin studies demonstrating heritability estimates for IQ ranging from 50% to 80% in adulthood, rather than unsubstantiated bias.[81] Defenders, including Harvard psychologist Steven Pinker, highlighted that Hsu's positions on topics like group differences in cognitive abilities were grounded in peer-reviewed literature, including genome-wide association studies (GWAS) identifying polygenic scores predictive of educational attainment and intelligence.[82] Pinker urged MSU not to capitulate to an "outrage mob," asserting that controversial ideas in behavioral genetics deserve scrutiny based on evidence, not suppression for fear of social implications.[8] Similarly, analyses in outlets like Quillette portrayed the campaign against Hsu as an effort to preemptively thwart research into sensitive areas, citing examples such as a 2015 Current Biology study co-authored by Anders Dale linking genetic ancestry to brain morphology variations, which Hsu had discussed without endorsing discriminatory applications.[83] These defenses maintained that empirical data from large-scale genomic datasets, including those showing genetic correlations across populations, justified continued investigation free from administrative reprisal.[84] Hsu himself, in blog posts and public statements, defended his inquiries as driven by first-principles analysis of quantitative traits, pointing to advances in polygenic risk scoring that enable prediction of complex phenotypes like height or educational outcomes with increasing accuracy as sample sizes grow.[18] Supporters noted his success in elevating MSU's annual research expenditures from approximately $500 million to $700 million during his tenure as evidence of effective leadership unmarred by ideological distraction, arguing that penalizing such contributions exemplified a broader erosion of academic freedom.[85] Critics of the MSU decision, including physicist Olle Häggström, decried the resignation demand as a capitulation to mob pressure, reinforcing that universities must prioritize causal mechanisms derived from data—such as the polygenic architecture of intelligence—over conformity to prevailing narratives.[86] This perspective framed Hsu's case as emblematic of tensions where empirical rigor in human genetics clashes with institutional incentives to avoid controversy.References
- https://commons.wikimedia.org/wiki/File:Richard_Feynman_and_Stephen_Hsu.jpg
