Nov 18, 2022
Our work uniPort is accepted by Nature Communications, and selected as Editor's Highlight.

Nov 14, 2022
I joined Caroline Uhler lab at Broad Institute of MIT and Harvard as a Postdoctoral Researcher.

May 22, 2022
I have passed the PhD thesis defense.

Nov 1, 2021
I have been honored with the China National Scholarship for doctoral students.

Aug 10, 2021
Our work Pamona is accepted by Bioinformatics.

Mar 13, 2020
Our work UnionCom is accepted by ISMB Conference.

Kai Cao 

Eric and Wendy Schmidt Center
Broad Institute of MIT and Harvard

415 Main Street, Cambridge, MA, USA, 02142

GitHub     • Google Scholar

I am a Postdoc Fellow at the Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard, working with Prof. Caroline Uhler and Prof. Ramnik Xavier. My research lies at the intersection of machine learning and computational biology, with a primary focus on developing new computational algorithms to explore open problems in biology.


Chinese Academy of Sciences
Ph.D. in System Science, Academy of Mathematics and Systems Science, Beijing, China
Sep 2017 - Jun 2022
Advisor: Prof. Lin Wan, Prof. Yiguang Hong
University of Science and Technology of China
Bachelor in Automation, School of Information Science and Technology, Hefei, Anhui, China
Sep 2013 - June 2017
Advisor: Prof. Weiwei Shang


Postdoctoral Associate, Broad Institute of MIT and Harvard, United States
Nov 2022 - Present
Advisor: Prof. Caroline Uhler & Prof. Ramnik Xavier
Research Assistant, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China
Sep 2018 - June 2022
Mentor: Prof. Lin Wan & Prof. Yiguang Hong
Visiting Scholar, Department of Electrical and Computer Engineering, University of Newcastle, Australia
June 2016 - Sep 2016
Mentor: Prof. Zhiyong Chen


SONATA: Disambiguated manifold alignment of single-cell data
Han Zhou, Kai Cao, Yang Lu
BioRxiv, 2023   

A unified framework for single-cell data integration with optimal transport
Kai Cao*, Qiyu Gong*, Yiguang Hong & Lin Wan (*co-first author)
Nature Communications, 2022 (Editors’ Highlights)    Codes   

Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona
Kai Cao, Yiguang Hong & Lin Wan
Bioinformatics, 2021    Codes   

Unsupervised Topological Alignment for Single-Cell Multi-Omics Integration
Kai Cao, Xiangqi Bai, Yiguang Hong & Lin Wan
Bioinformatics, 2020 (ISMB oral presentation, accept rate: 19%)    Codes   

Class conditional distribution alignment for domain adaptation
Kai Cao, Zhipeng Tu & Yang Ming
Control Theory and Technology, 2020   

Learning implicit information in Bayesian games with knowledge transfer
Guangpu Chen, Kai Cao & Yiguang Hong
Control Theory and Technology, 2020   

Continuous-time distributed algorithms for solving linear algebraic equation
Kai Cao, Xianlin Zeng & Yiguang Hong
Proceeding of the 36th Chinese Control Conference (CCC), 2017   

Computation of linear algebraic equations with solvability verification over multi-agent networks
X. Zeng & K. Cao
Kybernetika, 2017   


China National Scholarship for doctoral students (Top 5%), 2021
Merit Student of University of Chinese Academy of Sciences, 2020
China National Scholarship for Encouragement, 2016
Outstanding Undergraduate Research Program Award, 2016
Individual Scholarship of USTC, 2014

Academic Services

Journal reviewer of Bioinformatics Advances, PLOS Computational Biology.
Conference reviewer of ISMB, RECOMB.