The Koo Lab studies the functional impact of genomic mutations through a computational lens using data-driven machine learning solutions. We are broadly interested in applications for studying gene regulation and protein (dys)function. Our approach develops methods to interpret high-performing deep learning models to distill knowledge that they learn from big, noisy biological sequence data. Our goal is to elucidate biological mechanisms that underlie sequence-function relationships, with a broader aim of advancing precision medicine for complex diseases, including cancer. We are part of the Simons Center for Quantitative Biology and the Cancer Center at Cold Spring Harbor Laboratory.



Lab News

  • Sep 16, 2022 -- Koo's Booze Cruise wins the 2022 CSHL Raft Race! Great team work Jakub, Amber, Chandana, and Craig!
  • Sep 11, 2022 -- Rohan and Ethan leave for college. Good Luck!
  • Sep 6, 2022 -- Amanda Nemshin, a senior at Cold Spring Harbor High, joins the lab through the PFF program.
  • Jul 19, 2022 -- Peter is recognized as an Outstanding reviewer for ICML (Top 10%).
  • Jul 8, 2022 -- Rohit leaves for staff position in Jackson Lab. Good luck Rohit!
  • Jun 14, 2022 -- Jakub releases preprint on Evaluating histopathology transfer learning with ChampKit.
  • Jun 8, 2022 -- Phillip Zhou, an undergrad at Amherst College, joins us as a researcher for the summer (Jointly mentored with David McCandlish). Welcome Phillip!