Hyunghoon (Hoon) Cho, PhD

Hyunghoon Cho 

Assistant Professor of Biomedical Informatics and Data Science
Yale University
100 College St A924
New Haven, CT 06511

Email: hoon.cho at yale dot edu

[ Lab Website ] [ Publications ] [ Google Scholar ]

We are looking for new lab members! If you are interested, feel free to send me an email.

Biography and Research Interests

I joined Yale School of Medicine in September 2023 as an assistant professor (tenure-track) in the Section of Biomedical Informatics and Data Science. Prior to this position, I was a Schmidt Fellow and Principal Investigator at the Broad Institute of MIT and Harvard. I received my Ph.D. in Electrical Engineering and Computer Science at MIT in 2019 and previously obtained both an M.S. and a B.S. with Honors in Computer Science from Stanford University. I am honored to be a recipient of the NIH Director's Early Independence Award.

My research focuses on overcoming key computational challenges in the analysis of massive biomedical datasets using mathematical tools from a range of domains, including machine learning and applied cryptography. Specific problem areas of interest include biomedical data privacy, single-cell genomics, and network biology. The broad, long-term goal of my research is to empower biomedical researchers with efficient algorithms that not only enhance their ability to extract meaningful biological insights from noisy and high-dimensional experimental data, but also unlock new analytic workflows that could not be realized with existing techniques.

News and Recent Highlights

[09/01/2023] I am excited to start my faculty position at Yale. Here is a new website for my lab.
[05/08/2023] My lab is moving to Yale University in September 2023. If you are interested in joining us, feel free to contact me.
[03/31/2023] Our team won second place in the final round of the U.S. Privacy-Enhancing Technologies (PETs) Prize Challenge. See here for the announcement.
[11/23/2022] I will be serving as an Area Co-Chair (Genome Privacy and Security) for ISMB/ECCB 2023.
[11/10/2022] Our team won first place in the U.S. Privacy-Enhancing Technologies (PETs) Prize Challenge in Phase 1. Here is the announcement.
[09/09/2022] I will be serving as an Area Chair for Machine Learning in Computational Biology (MLCB) Conference 2022.
[02/17/2022] I joined the Program Committee of IEEE S&P 2023.
[11/30/2021] I will be serving as an Area Chair (Genome Privacy and Security) for ISMB 2022.
[10/12/2021] I am excited to be part of a newly established Center of Excellence in Genomic Science at UCSD as Co-Investigator.
[08/17/2021] My #WhyIScience interview is featured on the Broad Institute blog.
[05/11/2021] I joined the Program Committee of GenoPri 2021.
[01/18/2021] Our density-preserving data visualization paper is now published in Nature Biotechnology.
[01/06/2021] I joined the Proceedings Program Committee of ISMB/ECCB 2021.
[12/18/2020] Our privacy-preserving genotype imputation paper is accepted to RECOMB 2021. Preprint is available here.
[10/06/2020] I am grateful to receive the NIH Director's Early Independence Award.
[09/03/2020] I joined the Program Committee of RECOMB 2021.

Education

Past Teaching Activities

Past Employments