Assistant Professor of Biomedical Informatics & Data Science and of Computer Science Email: hoon.cho at yale dot edu [ Lab Website ] [ Publications ] [ Google Scholar ] |
I joined Yale University in September 2023 as an assistant professor (tenure-track) in the Department of Biomedical Informatics and Data Science in the Yale School of Medicine. I hold a secondary appointment in the Department of Computer Science. Previously, 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 under the supervision of Prof. Bonnie Berger and obtained both an M.S. and a B.S. with Honors in Computer Science from Stanford University in 2013. 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.
If you are looking for opportunities to work with me, feel free to send me an email describing your background and interests. My lab is always open to talented students and postdocs. Visiting positions may also be available.
(See our lab website for the latest news.)
[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.
Ph.D. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 09/2013 - 06/2019
Advisor: Bonnie Berger
M.S. in Computer Science, Stanford University, 03/2012 - 06/2013
B.S. in Computer Science with Honors, Stanford University, 09/2009 - 06/2013
Honors Thesis Advisor: Daphne Koller
Korea Science Academy of KAIST, 03/2006 - 12/2008
Teaching Assistant for 6.867: Machine Learning, taught by Devavrat Shah, Suvrit Sra, and David Sontag, MIT, Fall 2017.
Teaching Assistant for 18.418: Topics in Computational Molecular Biology, taught by Bonnie Berger, MIT, Spring 2016.
Teaching Assistant for CS 228: Probabilistic Graphical Models, taught by Daphne Koller, Stanford University, 03/2013 - 06/2013.
Section Leader for CS 106A: Programming Methodology and CS 106X: Programming Abstractions, Stanford University, 01/2011 - 12/2011.
Schmidt Fellow (Principal Investigator), Broad Institute of MIT and Harvard, 07/2019 - 08/2023.
Graduate Research Assistant, MIT Computer Science and AI Laboratory (CSAIL), 2013 - 2019.
Research Intern, Microsoft Research New England, Summer 2014.
Business Development Intern, Palantir Technologies, Summer 2012.