Hannah Meyer joins CSHL Quantitative Biology faculty March 26, 2019 Hannah Meyer is the newest Quantitative Biology Fellow at CSHL, studying how our immune system learns to identify and fight pathogens.
How does math help us understand the brain? January 31, 2019 An exploration of how computational neuroscientist Tatiana Engel uses math to understand how the brain makes decisions.
The big problem of small data: A new approach October 18, 2018 You’ve heard of “big data” but what about small? Researches have crafted a modern approach that could solve a decades-old problem in statistics.
Evolving sets of gene regulators explain some of our differences from other primates January 29, 2018 What makes us different from our primate relatives? Gene regulation is one important evolutionary factor
The biggest beast in the Big Data forest? One field’s astonishing growth is, well, ‘genomical’! July 6, 2015 Scientists work to figure out how to capture, store, process and interpret all that genome-encoded biological information.
CSHL quantitative biologist Michael Schatz awarded 2015 Sloan Foundation Research Fellowship February 20, 2015 Associate Professor Michael Schatz receives a 2015 Alfred P. Sloan Foundation Research Fellowship
New senior faculty join CSHL November 10, 2014 Interviews with new faculty Adam Siepel and Douglas Fearon.
CSHL receives $50 million to establish Simons Center for Quantitative Biology July 7, 2014 CSHL announced a $50 million gift from Jim and Marilyn Simons to establish the Simons Center for Quantitative Biology.
Researchers propose new way to make sense of ‘Big Data’ February 15, 2014 New application of a classic concept challenges the latest statistical tools.
Cold Spring Harbor Laboratory surpasses capital campaign goal July 15, 2009 Over $340 million raised for research and education
Financial industry pioneers give major boost to next-frontier effort at CSHL in Quantitative Biology September 24, 2008 Major grants from foundations led by Jim Simons and Hank Greenberg help launch CSHL's Center for Quantitative Biology
