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PostDoc, 2023-Along my three to four-year PostDoc (with full fellowship), I mainly target challenges in Therapeutic Science, emphasizing Genomics. I focus on developing computation tools for cell atlases, various forms of perturbations (chemical/genetic/optical), cancer, and immunotherapy. I'm keen on advancing novel therapeutic modalities such as RNA, Perturbation, Antibody, CAR-T, TIL etc. In addition, I'm working on general data-driven methods that are applicable across broader fields like Physics and Material Sciences, aiming for substantial scientific, social and industrial impacts. Born in a family of professors, trained in Biology (High School Olympiads), Physics (College), and Machine Learning (PhD), my voyage in AI for Science just starts :) |
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PhD, in Machine Learning, 2019-2022During my three-year Ph.D (full fellowship for four years), I first shifted research focus from Physics to AI/ML. I then started working on data including votes from polls and surveys, 3D point clouds, CT/CXR scans, pathological and histological images, molecular and relational graphs, as well as single-cell transcriptomics. I develop methods that can learn structures from these data with weak supervisions. Aside from this, I spared some time on quantum computation and did four internships in tech and biotech (Google -> Amazon -> BioMap -> Iambic). Back in 2019, I co-founded a startup (as the CTO) with Stanford and Berkeley alumni, aimed at transforming electronic medical records via language models, with partnerships among 37 hospitals. Though things didn't work out then, my commitment to harnessing AI's power in Healthcare remains steadfast. |
25. Hanchen Wang, University of Cambridge, Doctoral Thesis |
24. Hanchen Wang et al., John Marioni# in submission |
23. Lijun Chen et al., Tian Xia#, Main Figures in review |
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Chinese, Tsinghua University Press 2023, Table of Contents English, in press, Springer 2023, Table of Contents |
21. Hanchen Wang* et al., Yoshua Bengio, Marinka Zitnik# [Team] > Nature 2023, accepted before revisions |
20. Jiefeng Gan*, Hanchen Wang*, et al., Tian Xia# [Team] > iScience 2023 |
19. Hanchen Wang, James Zou in revision, Nature Machine Intelligence |
18. Hanchen Wang*, Jean Kaddour*, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu NeurIPS 2023 |
17. Shengchao Liu et al., in review |
16. Dingmin Wang et al., ECAI 2023 |
15. Hanchen Wang, Yunlong Jiao, Jordan Massiah contributed talk at Amazon Machine Learning Conference 2021 |
14. Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang ICLR 2022 |
13. Hanchen Wang*, M. N.* (in contribution order) ICASSP 2022, Invited by Editors, with Travel Award project page  |  code |
12. Xiang Bai (Prof.)* Hanchen Wang*, Liya Ma*, Yongchao Xu*, Jiefeng Gan*, ..., Carola Schönlieb#, Tian Xia# Nature Machine Intelligence 2021 |
11. Weiyang Liu*, Zhen Liu*, Hanchen Wang*, Liam Paul, Bernhard Schölkopf, Adrian Weller NeurIPS 2021, Spotlight |
10. Yun-Hao Cao, et al., Pattern Recognition 2021 |
9. Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner ICCV 2021 |
8. Hanchen Wang, Nina Grgić-Hlača, Preethi Lahoti, Krishna. P. Gummadi, Adrian. V. Weller axXiv, presented at NeurIPS HCML 2019, with Travel Award |
Undergraduate, in Physics, 2014-2018In addition to studying Theoretical Physics, I researched next-gen electronic devices such as transistors and solar cells, a field at the nexus of Solid-State Physics, Material Sciences and Electrical Engineering. I primarily worked in Xinran Wang's and Ali Javey's groups. I also accrued experience in the finance sector, initially focusing on bonds before transitioning to roles in quantitative trading of equity and crypto. These diverse experiences ultimately cemented my commitment in advancing Science and Engineering with the aim of improving human life, increasingly leveraging computational tools like AI/ML. |
7. Nature Nanotechnology 2019 |
6. Advanced Energy Materials 2019 |
5. ACS Energy Letters 2018 |
4. Zhihao Yu*, Hanchen Wang* et al., Xinran Wang IEDM 2017, Oral, Nanjing University's first IEDM paper |
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Journal of Physical Chemistry B 2017 |
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Scientific Reports 2017 |
1. Weisheng Li*, Jian Zhou*, Hanchen Wang* et al., Invited, Acta Physica Sinica 2017 |