Hanchen Wang    |  Publication  |  Misc  |  Blog  |
Bio (ex-Quant/Scientist/CTO, 26 yo Capricorn, INTJ)


- Teaching Assistant, all at Cambridge
  - Statistical Inference, Lent '20, '21
  - Lab IB: Spectrum Analysis, Michaelmas '20
  - Statistical Signal Processing, Michaelmas '19, '20

- Reviewer & Area Chair
  - Workshop proposals for NeurIPS
  - Nature Machine Intelligence, Nature Electronic, Harvard Data Science Review, IEEE TPAMI, etc

- Co-Organizer
  - Workshop on ML for Material Discovery, ICLR '23
  - Workshop on AI for Science, NeurIPS '21, '22; ICML '22

- Contributor
  - Human Cell Atlas; Data Integration Team
  - Chan Zuckerberg Initiative-BioHub; Virtual Cell and Foundation Model Teams

- Mentor
  - '24 Summer interns for Regev's Lab at Genentech, see Job Description, positions are filled
  - '24 Spring/Summer research assistant positions at Leskovec's Lab will be opening, for Stanford talents

Talk [More] >

- [23.06-12] "Deciphering Batch Effect in Single-Cell Transcriptomics with Concept Bottlenecks", at THU; PKU; Cambridge MLG; Microsoft Research AI4Science; Sanger Institute; EMBL-EBI; Westlake U; (a few more are upcoming... )


- My arXiv-TrackerπŸ“š
- Reading, traveling, and exercising πŸš£πŸ»β€β™‚οΈ 🏸 πŸ‹πŸ»β€β™‚οΈ
- The 3rd level National Athlete in 400 meters πŸƒπŸ»β€β™‚οΈ
- Write on ηŸ₯乎 & blog, on AI/Science/Pharma, from views of πŸ‘¨πŸ»β€πŸ”¬ and πŸ¦„


I currently live in Xuzhou, Suzhou, Nanjing, Palo Alto, Berkeley, Tokyo (Chiba), Shanghai (ChangNing), Cambridge, Nice, Monaco, Istanbul, Seoul (Gangnam), Cambridge, London (Westminster), Cherry Hinton, Shanghai (HuangPu), Beijing (HaiDian), Los Angeles (Arcadia), San Diego (La Jolla), Beijing (HaiDian), Bay Area (Menlo Park).

I work at Gates Building (Stanford) and Building 45 (Genentech).
In 2023, I am at events including ZGC Forum, BayLearn, Stanford Graph Learning, MIT MoML, NeurIPS.
In 2024, I am thinking of to be at events including HCA, ASGCT, CSHL, UPenn GTP, Stanford Graph Learning, NeurIPS.


The website design is inspired by Jon Barron and Dani Yogatama. Thank you!