Persona
I value test performance and scientific insights over decorative theories or model hypes. As a valedictorian in Theoretical Physics and having published work in Quantum Computation during PhD, I favor simple, novel ideas - though I'm open to complex engineering when needed, which seems to be a necessity for AI these days :)
- I believe 1 remarkable is way more valuable than 1000 mediocre projects/papers.
>> Its about who you team up with and how impactful the work is.
- I’m drawn to risky and rewarding moonshots.
- I don’t appreciate hard-working.
- I hire slow and fire fast.
- I believe e/acc.
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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.
- Undergraudate Mentoring Pilot Program, on Becoming a Latino Scientist, UC Davis, '24-'25.
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Academic Service
Teaching Assistant - Michaelmas/Lent mean Cambridge's Fall/Spring semesters
- 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
- 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 - Email me if you want to work with us on Science and/or Biomedicine and/or AI-focused projects.
- In Spring 2024, I start hosting interns and RAs. I'm fortunate to work with: Serena Zhang (Stanford CS BS+MS), Yichun He (Harvard SEAS PhD), Arora Rohit (Harvard Medical School 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.
Guest Lecturer - forthcoming!
Junior Editor
- I advise early-stage reviewers (BS to PostDoc) through official programs at venues including Maching Learning for Health & Nature Communications.
- forthcoming!
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Invited Talk
- [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
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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), 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!
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