wang.hanchen at gene.com | hanchenw at stanford.edu |
Persona
- I enjoy reading history (civilization, nation, corporation, person), at a rate of 5-20 books per year since age 16.- I value method's practical performance and insights over decorative theories or hypes. - I believe one remarkable is way valuable than thousands of mediocre. - I spent 3 years for PhD, and 2 years for High School. - I favor risky and rewarding stuff (YOLO, e/acc). - I hire slow and fire fast. |
Academic Service
Area Chair- ICLR '26 Guest Lecturer - Stanford Bio 114, Winter '24 Member - Human Cell Atlas, Data Integration Team - Chan Zuckerberg Initiative, Virtual Cell Team, Faculty Applicant Bootcamp, Grant Writing Bootcamp - UCSF Gladstone Institute, Trainee-to-Tenure Track Program - Genentech, Pipeline Club Mentor I host RAs, interns and technicians at Jure's Group at Stanford and Aviv's Lab at Genentech. I'm fortunate to work with: - Harrison Zhang (Stanford MD PhD), "robotics and drug development" - Jordan Rossen (Harvard Epidemiology PhD), "sequence-to-function models for personal traits prediction" - Namkyeong Lee (KAIST CS PhD), "reasoning capability of LLM agent on perturbation design" - Sessen Iohannes (CSHL Biology PhD), "tracking and prediction system for live cell videos" - Chang Ma (HKU CS PhD), "computer use and coding agent for cell images" - Ziyu Lu (Rockefeller Biology PhD), "spaciotemporal dynamics in prostate cancers" - Shuvom Sadhuka (MIT CSAIL PhD), "reliable agent verifiers with sequential hypothesis testing" - Serena Zhang (Stanford CS BS-MS), "biomni: a general-purpose biomedical AI agent" - Yichun He (Harvard Bioengineering PhD), "spatialagent: an autonomous AI agent for spatial biology" - Chenyu Wang (MIT CSAIL PhD), "discrete diffusion models for DNA and protein design" - Nikil Ravi (Stanford CS MS), "science graph benchmark". I also advise early-stage reviewers (BS to PostDoc) via official programs at venues including ML4H & Nature Communications. Organizer - Symposium on AI Agents and Scientific Discovery, AAAI '25 - Workshop on ML for Material Discovery, ICLR '23 - Workshop on AI for Science, NeurIPS '21 & '22; ICML '22 Reviewer - ORCID - Proposals: <Funding & Grant> NSF TIP/ITE Sector (Oct '25); <Event> workshops at NeurIPS '21, '23, '24, '25 - Papers: <Journal> IEEE TPAMI, Nature, Nature Biotechnology, Nature Communications, Nature Electronics, Nature Machine Intelligence, Nature Methods, Science, etc; <Conference> AAAI, AISTATS, CVPR, ICLR, ICML, ISMB, KDD, NeurIPS etc - Textbooks: Immunology / Reproductive Medicine Topics for Springer Nature Teaching Assistant - Michaelmas/Lent are Fall/Spring semesters at Cambridge - Statistical Inference, Lent '20 & '21 - Lab: Spectrum Analysis, Michaelmas '20 - Statistical Signal Processing, Michaelmas '19 & '20 |
Invited Talk
- [25.11] Cold Spring Harbor Laboratory- [25.10] Broad Institute of Harvard and MIT; Stanford Graph Learning Workshop - [25.09] Weill Cornell Medicine - [25.08] Agentic AI Summit, UC Berkeley - [25.05] Stanford; Penn; Danaher; UCLA; Roche; Nature Publishing Group; 10x Genomics; Tsinghua; Yale; NIH / NCI, Harvard - [25.04] AAAI Spring Symposium - [24.11] Princeton, Yale - [23.11] Human Cell Atlas - [23.06] Tsinghua, Peking, Westlake; Cambridge ML Group; Microsoft AI4Science; Sanger Institute; EMBL-EBI - [23.04] Swarma Pattern - [22.09] Genentech - [22.06] Lennard-Jones Centre, Cambridge - [22.02] ML/NLP Seminar, Oxford - [21.10] Amazon Machine Learning Conference - [21.07] Amazon-UCL Seminar - [19.10] HackBridge Demo Day - [19] call/pitch/pre on ''Cantab Care'', a startup I co-founded - [18.07] Awardee Representative Speech, Cathy Xu Fellowship Awarding Event - [18.06] Commencement Speech (Valedictorian), KYM Honors School, Nanjing University |
Funding and Grants
- PI: Genentech Internal Funding for AI Agents: $150k/year for computation, $250k/year for hiring.- PI: Google Cloud Credits (Gemini): $30k - PI: OpenAI Researcher Access Program: $10k - Postdoc: Supported by one fellowship - PhD: Funded by two fellowships, a few scholarships, cash prize, student grants, and travel awards - Undergraduate: Received multiple awards and was the commencement speaker of the talented program - In addition, I contributed to my advisors’ proposals for: - NSF AI Institute (2023, Awarded $400k) - Stanford HAI Hoffman–Yee Award (2024; Awarded $1.8M) - CRUK Cancer Grand Challenge (2025, Submitted) - Prize from Gates Foundation (2025, Submitted) |
Equity Commitment
- Volunteer: Data Science & Machine Learning Professional Certificate Program, San Francisco State University, '24-'25- Mentor: Undergraduate Mentoring Pilot Program, on Becoming a Latino Scientist, UC Davis, '25 |
Digital Nomad
I’ve lived, studied and worked in Xuzhou >> Suzhou >> Nanjing >> Berkeley >> Tokyo >> Shanghai >> Cambridge >> London (Westminster) >>
Beijing >> Los Angeles (Arcadia) >> San Diego (La Jolla) >> Beijing >> Manhattan >> Bay Area (Menlo Park).
I was born in Xuzhou, where the Han dynastry thrived, a city founded in 221 BC. I spent most of my teenage in Suzhou, a city thriving since 514 BC, now ranked 14th globally by GDP, and the major Asian R&D and manufacturing sites for pharmas including AstraZeneca, Eli Lilly, GSK, Pfizer, Roche and many CROs. Acknowledgement
The website design is inspired by Jon Barron and Dani Yogatama. Thank you!
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