Persona
- I value test performance and scientific insights over decorative theories or method hypes.
- I believe 1 remarkable is way valuable than 1,000 mediocre (project, collaborator, friend).
- I spent 3 years for PhD, and 2 for High School.
- I, of course, favor risky and rewarding choices.
|
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:
Shentong Mo (CMU ML PhD),
Shuvom Sadhuka (MIT CSAIL PhD),
Jordan Rossen (Harvard Epidemiology PhD),
Chang Ma (HKU CS PhD),
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
|
Outreach and Broader Impacts
- 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
|
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), Manhattan, Bay Area (Menlo Park 🌲).
I spent my teenage in Suzhou, a city founded in 514 BC, famed for its Classical Gardens. It's also where leading pharmas, including AstraZeneca, Eli Lilly, GSK, Pfizer, and Roche/Genentech, base their main R&D and manufacturing hubs in Asia.
Acknowledgement
The website design is inspired by Jon Barron and Dani Yogatama. Thank you!
|