Hanchen Wang    |  Publication  |  Misc  |  Bio  |

Service

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

Reviewer & Area Chair
- Workshop proposals for NeurIPS
- ICLR, ICML, NeurIPS, ISMB, CVPR, KDD, AAAI, etc
- Nature Machine Intelligence, Nature Electronic, 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; some overview papers: eLife '17, Nature '17, Cell '20, Nature '21, Nature Medicine '22

Mentor
- Summer internships for Regev's Lab at Genentech will open soon, primarily for graduate students in States
- Research assistant positions at Leskovec's Lab at Stanford is now opening, primarily for Stanford students

Talk [More] >

- [23.06-10] "Deciphering Batch Effect in Single-Cell Transcriptomics with Concept Bottlenecks", at THU; PKU; Cambridge MLG; Microsoft Research AI4Science; Sanger Institute; EMBL-EBI; Westlake U; (scVerse; Genentech; Stanford Bio-X; DeepMind... )
- [23.04] "Opportunities & Challenges in AI for Therapeutic Science", at Swarma Pattern

Trivia

- 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
- Blog on ηŸ₯乎 & Substack, on AI/Science/Pharma, from views of πŸ‘¨πŸ»β€πŸ”¬ and πŸ¦„

Locations

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 William Gates (Stanford) and Building 44 or 45 (Genentech).
In 2023, I am at events including ZGC Forum, BayLearn, MIT MoML, NeurIPS.
In 2024, I am thinking of to be at events including AACR, HCA, SCG, ASGCT, NeurIPS.

Acknowledgement

The website design is inspired by Jon Barron, Lilian Weng and Dani Yogatama. Thank you all!