CV

Education

• Ph.D in Computational Biology and Medicine, Cornell University, 2023
• M.S. in Biomedical Science, The University of Edinburgh, 2016
• B.S. in Biomedical Science (honor), Zhejiang University, 2016

Work experience

• 2016-2017: Research Assistant
  • University of Chicago
• Summer 2015: Research Assistant
  • University of Los Angeles
• Summer 2014: Research Assistant
  • Harvard University

Skills

• Machine learning
• Cancer genomics
• Imaging analysis

Publications

Regenerative lineages and immune-mediated pruning in lung cancer metastasis

Laughney, A.M., Hu, J., Campbell, N.R. et al. Regenerative lineages and immune-mediated pruning in lung cancer metastasis. Nat Med 26, 259–269 (2020).

The human tumor atlas network: charting tumor transitions across space and time at single-cell resolution

Rozenblatt-Rosen, Orit, et al. “The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution.” Cell, Cell Press, 16 Apr. 2020

Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer

Chan, Joseph M., Álvaro Quintanal-Villalonga, Vianne Ran Gao, Yubin Xie, Viola Allaj, Ojasvi Chaudhary, and Ignas Masilionis et al. 2022. "Signatures Of Plasticity, Metastasis, And Immunosuppression In An Atlas Of Human Small Cell Lung Cancer".

Service and leadership

• Organzing committee of International Conference of Machine Learning (ICML) Computational Biology Workshop (https://icml-compbio.github.io)
• Member of “I Can´t Believe It’s Not Better” (ICBINB) initiative (http://icbinb.cc)