Ethos
- I value performance and scientific insights over decorative theories or model hypes.
- I believe 1 remarkable is way valuable than 1,000 mediocres.
- I spent 3 years for PhD, and 2 for High School.
- I favor risky and rewarding choices.
- I hire slow and fire fast.
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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
- 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
Member
- Human Cell Atlas, Data Integration Team
- Chan Zuckerberg Initiative, Virtual Cell Team & AI Resident
- Chan Zuckerberg Initiative, Faculty Applicant Bootcamp
- UCSF Gladstone Institute, Trainee-to-Tenure Track Program
- Pipeline Club, Genentech
Mentor
- I host RAs and Interns at Jure's Group at Stanford AI Lab and Regev's Lab at Genentech. I'm fortunate to work with:
Sessen Iohannes (CSHL Biology PhD),
Chang Ma (HKU CS PhD),
Namkyeong Lee (KAIST CS),
Ziyu Lu (Rockefeller Biology PhD),
Dr. Jordan Rossen (Harvard Epidemiology PhD),
Shuvom Sadhuka (MIT CSAIL PhD),
Zihan Xu (Rockefeller Biology PhD),
Serena Zhang (Stanford CS BS + MS),
Yichun He (Harvard Bioengineering PhD),
Chenyu Wang (MIT CSAIL PhD),
Nikil Ravi (Stanford CS MS).
- I advise early-stage reviewers (BS to PostDoc) via official programs at venues including ML4H & Nature Communications.
Guest Lecturer
- Stanford Bio 114, Winter '24
Junior Editor
- forthcoming!
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Invited Talk
- [25.05] Stanford; UPenn; Danaher Coporation; UCLA; Roche; Nature Publishing Group
- [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
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Funding and Grants
- OpenAI Researcher Access Program
- Postdoc: Supported by a 3-year fellowship
- PhD: Funded by two fellowships, several scholarships/cash awards, a student grant, and two travel awards
- Undergraduate: Received multiple awards and was the commencement speaker of the talented program
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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
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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!
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