Chris Kachulis is the Director of Computational Science at the Broad Institute of MIT and Harvard. Leveraging his PhD from Boston University, he specializes in analyzing large, complex datasets and has a strong background in developing machine learning algorithms.
His academic research focused heavily on particle physics, specifically involving work with major international collaborations on neutrino and dark matter experiments.
During his PhD, he developed an analysis that set the first experimental constraints on "boosted dark matter" models.
Chris Kachulis
Director, Computational Science at Broad Institute of MIT and Harvard
Boston, Massachusetts, United States
Overview
Topics They Care About
Computational Science
As the Director of Computational Science at the Broad Institute, he leads efforts in applying computational methods to solve biological and medical problems.
Large-scale Datasets
His PhD work involved processing and analyzing massive datasets from particle physics experiments, a skill directly relevant to genomics at the Broad Institute.
Machine Learning
Has direct experience training, testing, and overseeing the performance of neural network machine learning algorithms from his doctoral research.
Media Appearances
Chris has no verified media appearances
Work History
6-2025
Director, Computational Science at Broad Institute of MIT and Harvard
1-2022 - 6-2025
Group Leader, Computational Biology at Broad Institute of MIT and Harvard
6-2018 - 1-2022
Computational Scientist at Broad Institute of MIT and Harvard
9-2011 - 5-2018
PhD Student at Boston University
Education
2011 - 2018
Doctor of Philosophy - PhD from Boston University
2007 - 2011
Bachelor of Science (BS) from Yale University
More Information
Social Presence :
Prographics :
Exp : 14
Location : Boston, Massachusetts, United States
Job Level : Mid-senior
Designation : Director, Computational Science at Broad Institute of MIT and Harvard
