Gefei Wang, Ph.D.

Gefei Wang, Ph.D.

Yale University

I am currently a postdoctoral associate in the Department of Biostatistics at Yale University, jointly advised by Prof. Hongyu Zhao and Prof. Yize Zhao. I completed my Ph.D. at the Hong Kong University of Science and Technology, under the supervision of Prof. Can Yang and Prof. Yang Wang.

My research interests include the development of machine learning and deep learning methdologies with applications in biological data analysis.

đź’» Professional Experience

  • 2023.10 - Now, Postdoctoral Associate, Yale University.

🎓 Education

  • 2019.09 - 2023.08, Ph.D. in Mathematics, The Hong Kong University of Science and Technology.
  • 2015.09 - 2019.06, B.Sc. in Mathematics and Applied Mathematics, Beijing Normal University.

đź“ť Publications and Preprints

* Joint first authors. # Corresponding authors.

Publications

  • An organism-wide atlas of hormonal signaling based on the mouse lemur single-cell transcriptome. [Nature Communications] [bioRxiv] [Project Website]

    Shixuan Liu, Camille Ezran, Michael F. Z. Wang, Zhengda Li, The Tabula Microcebus Consortium†, Jonathon Z. Long, Iwijn De Vlaminck, Sheng Wang, Christin Kuo, Jacques Epelbaum, Jeremy Terrien, Mark A. Krasnow#, James E. Ferrell, Jr.#.

    †Gefei Wang is a member of the Tabula Microcebus Consortium.

    Nature Communications. 2024, 15(1): 2188.

  • Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks. [Nature Machine Intelligence] [Read fulltext] [bioRxiv] [Software] [Project Website]

    Gefei Wang*, Jia Zhao*, Yan Yan, Yang Wang, Angela Ruohao Wu#, Can Yang#.

    Nature Machine Intelligence. 2023, 5(11): 1200–1213.

  • Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets. [Nature Computational Science] [Read fulltext] [bioRvix] [Blog] [Software]

    Jia Zhao*, Gefei Wang*, Jingsi Ming, Zhixiang Lin, Yang Wang, The Tabula Microcebus Consortium†, Angela Ruohao Wu#, Can Yang#.

    †Gefei Wang is a member of the Tabula Microcebus Consortium.

    Nature Computational Science. 2022, 2(5): 317-330.

  • Deep Generative Learning via Schrödinger Bridge. [ICML] [arXiv] [Code]

    Gefei Wang, Yuling Jiao#, Qian Xu, Yang Wang, Can Yang#.

    International Conference on Machine Learning. 2021, 10794-10804.

Preprints

  • scMODAL: A general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links. [bioRxiv] [Software] [Project Website]

    Gefei Wang, Jia Zhao, Yingxin Lin, Tianyu Liu, Yize Zhao, Hongyu Zhao#.

    bioRxiv 2024; doi: https://doi.org/10.1101/2024.10.01.616142.

  • INSPIRE: interpretable, flexible and spatially-aware integration of multiple spatial transcriptomics datasets from diverse sources. [bioRxiv] [Software] [Project Website]

    Jia Zhao, Xiangyu Zhang, Gefei Wang, Yingxin Lin, Tianyu Liu, Rui B. Chang, Hongyu Zhao#.

    bioRxiv 2024; doi: https://doi.org/10.1101/2024.09.23.614539.

  • Mouse lemur transcriptomic atlas elucidates primate genes, physiology, disease, and evolution. [bioRxiv] [Project Website]

    The Tabula Microcebus Consortium†, Camille Ezran*, Shixuan Liu*, Jingsi Ming, Lisbeth A. Guethlein, Michael F.Z. Wang, Roozbeh Dehghannasiri, Julia Olivieri, Hannah K. Frank, Alexander Tarashansky, Winston Koh, Qiuyu Jing, Olga Botvinnik, Jane Antony, Stephen Chang, Angela Oliveira Pisco, Jim Karkanias, Can Yang, James E. Ferrell Jr., Scott D. Boyd, Peter Parham, Jonathan Z. Long, Bo Wang, Julia Salzman, Iwijn De Vlaminck, Angela Wu, Stephen R. Quake#, Mark A. Krasnow#.

    †Gefei Wang is a member of the Tabula Microcebus Consortium.

    bioRxiv 2022; doi: https://doi.org/10.1101/2022.08.06.503035.

  • Tabula Microcebus: A transcriptomic cell atlas of mouse lemur, an emerging primate model organism. [bioRxiv] [Project Website]

    The Tabula Microcebus Consortium†, Camille Ezran*, Shixuan Liu*, Stephen Chang*, Jingsi Ming, Olga Botvinnik, Lolita Penland, Alexander Tarashansky, Antoine de Morree, Kyle J. Travaglini, Jia Zhao, Gefei Wang, Kazuteru Hasegawa, Hosu Sin, Rene Sit, Jennifer Okamoto, Rahul Sinha, Yue Zhang, Caitlin J. Karanewsky, Jozeph L. Pendleton, Maurizio Morri, Martine Perret, Fabienne Aujard, Lubert Stryer, Steven Artandi, Margaret Fuller, Irving L. Weissman, Thomas A. Rando, James E. Ferrell, Jr., Bo Wang, Iwijn De Vlaminck, Can Yang, Kerriann M. Casey, Megan A. Albertelli, Angela Oliveira Pisco, Jim Karkanias, Norma Neff, Angela Ruohao Wu, Stephen R. Quake#, Mark A. Krasnow#.

    †Gefei Wang is a member of the Tabula Microcebus Consortium.

    bioRxiv 2021; doi: https://doi.org/10.1101/2021.12.12.469460.

🎖 Honors and Awards

  • 2022.05 and 2023.05, HKUST RedBird Academic Excellence Award, HKUST.
  • 2022.05, Din-Yu Hsieh Teaching Award, Department of Mathematics, HKUST.
  • 2022.05, Epsilon Fund Award, Department of Mathematics, HKUST.
  • 2019.11, HKUST Excellent Research Award, HKUST.
  • 2019.09 - 2023.08, Hong Kong PhD Fellowship, Research Grants Council, University Grants Committee.
  • 2019.05, Outstanding Graduate, Beijing Municipal Commission of Education.
  • 2019.05, Outstanding Graduate, Beijing Normal University.
  • 2018.12, National Scholarship, Ministry of Education of the People’s Republic of China.
  • 2016.12, 2017.12 and 2018.12, First-class Scholarship, Beijing Normal University.

đź’¬ Invited Talks

  • 2023.11, Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks. Genome and AI Forum.
  • 2023.03, Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks. Capital of Statistics. [Video link]
  • 2021.07, Deep Generative Learning via Schrödinger Bridge. The First Zhuhai-Hong Kong-Macao Forum on Statistics and Data Science.
  • 2021.07, Deep Generative Learning via Schrödinger Bridge. Invited talk at Dongbei University of Finance and Economics.

đź“– Teaching

  • 2022.09 - 2022.12, MATH 3423 Statistical Inference, Teaching Assistant, HKUST.
  • 2022.02 - 2022.05, MATH 2421 Probability, Teaching Assistant, HKUST.
  • 2021.09 - 2021.12, MATH 2411 Applied Statistics, Teaching Assistant, HKUST.
  • 2021.02 - 2021.05, MATH 3033 Real Analysis, Teaching Assistant, HKUST.
  • 2020.09 - 2020.12, MFIT 5010 Statistical Machine Learning, Teaching Assistant, HKUST.
  • 2020.09 - 2020.12, MATH 1013 Calculus IB, Teaching Assistant, HKUST.
  • 2020.02 - 2020.05, MAFS 6010S Machine Learning and its Applications, Teaching Assistant, HKUST.
  • 2020.02 - 2020.05, MATH 1014 Calculus II, Teaching Assistant, HKUST.
  • 2017.08, Volunteer teacher in Wanyuan Middle School, Sichuan Province.

🌍 Contact

  • Email: gefei.wang[at]yale[dot]edu
  • Address: 300 George Street, New Haven, CT 06511