wang.hanchen at gene.com | hanchenw at cs.stanford.edu |
Persona- I value test performance and scientific insights over ineffective theories or model hypes.- I believe 1 remarkable paper is way more valuable than 1000 mediocre papers. - I enjoy working only with top people (i.e., super smart and deliverable). - I don't push others, but I am always responsive and supportive. - I don’t appreciate hard-working, elasticity is preferred. - I hire slow and fire fast. |
Academic ServiceTeaching Assistant - Michaelmas/Lent are our Cambridge's terms for Fall/Spring semesters- Statistical Inference, Lent '20 & '21 - Lab: Spectrum Analysis, Michaelmas '20 - Statistical Signal Processing, Michaelmas '19 & '20 Reviewer & Area Chair - Workshop proposals for NeurIPS '21, '23, '24 - ICLR, ICML, NeurIPS, ISMB, CVPR, AISTATS, KDD, AAAI etc - Nature Machine Intelligence, Nature Electronic, Harvard Data Science Review, IEEE TPAMI etc 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 etc Mentor - Send me an email if you are interested in working with us at 1) Genentech (see description) or 2) Stanford CS. - In 2024, I start hosting interns at Genentech (Regev Lab) and RAs at Stanford (Leskovec Lab): Yichun He (Harvard SEAS PhD), Arora Rohit (Harvard Medical School PhD), Chenyu Wang (MIT CSAIL PhD), Nikil Ravi (Stanford CS MS) |
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