Hanchen Wang    |  Publication  |  Misc  |  Bio  |
wang.hanchen at gene.com  |  hanchenw at cs.stanford.edu


Persona

  - I value test performance and scientific insights over decorative theories or method hypes.
  - I believe 1 remarkable is way more valuable than 1,000 mediocre (projects, people).
  - I spent three years for PhD, two years for High School.
  - I favor risky and rewarding choices.


Social Responsibility

Volunteer
  - Data Science & Machine Learning Professional Certificate Program, San Francisco State University, '24 - '25: Provide office hours and Slack support for beginners, typically from under-represented groups, on Python and ML methods.
  - Undergraduate Mentoring Pilot Program, on Becoming a Latino Scientist, UC Davis, '24-'25.


Academic Service

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

Reviewer & Area Chair
  - Workshop proposals: NeurIPS '21, '23, '24
  - Conferences: ICLR, ICML, NeurIPS, ISMB, CVPR, AISTATS, KDD, AAAI etc
  - Journals: Nature Machine Intelligence, Nature Electronic, Nature Communications, IEEE TPAMI etc
  - Textbooks: Immunology / Reproductive Medicine for Springer Nature

Co-Organizer & Team Member
  - 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
  - Human Cell Atlas, Data Integration Team
  - Chan Zuckerberg Initiative, Virtual Cell Team & AI Resident

Mentor
  - In Spring 2024, I start hosting interns and RAs. I'm fortunate to work with: Ziyu Lu (Rockefeller Biology PhD), Serena Zhang (Stanford CS BS + MS), Yichun He (Harvard SEAS PhD), Chenyu Wang (MIT CSAIL PhD), Nikil Ravi (Stanford CS MS).
  - I will be serving as a team leader for Open Problems in Single-Cell Analysis starting in Spring 2025.
  - I advise early-stage reviewers (BS to PostDoc) via official programs at venues incl. ML4H & Nature Communications.

Guest Lecturer
  - Stanford Bio 114, Winter '24

Junior Editor
  - forthcoming!


Invited Talk

- [25.03] 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

- OpenAI Researcher Access Program


Digital Nomad [GitHub]

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 spent most of my teenage in Suzhou where, along with its neighbor cities, Wuxi and Shanghai, hosts the main Chinese R&D and manufacturing sites for many leading pharmas, including AstraZeneca, Eli Lilly, GSK, Pfizer, and Roche/Genentech.


Acknowledgement

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