News
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.
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Kai Cao
Eric and Wendy Schmidt Center
415 Main Street, Cambridge, MA, USA, 02142
Email: caokai1073@gmail.com
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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.
Education
| 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 |
Experiences
| 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 |
Publications
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SONATA: Disambiguated manifold alignment of single-cell data
Han Zhou, Kai Cao, Yang Lu BioRxiv, 2023 |
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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 |
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Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona
Kai Cao, Yiguang Hong & Lin Wan Bioinformatics, 2021 Codes |
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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 |
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Class conditional distribution alignment for domain adaptation
Kai Cao, Zhipeng Tu & Yang Ming Control Theory and Technology, 2020 |
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Learning implicit information in Bayesian games with knowledge transfer
Guangpu Chen, Kai Cao & Yiguang Hong Control Theory and Technology, 2020 |
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Continuous-time distributed algorithms for solving linear algebraic equation
Kai Cao, Xianlin Zeng & Yiguang Hong Proceeding of the 36th Chinese Control Conference (CCC), 2017 |
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Computation of linear algebraic equations with solvability verification over multi-agent networks
X. Zeng & K. Cao Kybernetika, 2017 |
Awards
| 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. |