CSHL Stories and Media archive for Tag: Simons Center for Quantitative Biology

AI researchers ask: What’s going on inside the black box?

2/8/2021

Although researchers have figured out how to train computers to recognize things, they have yet to understand how machines make those predictions. Read the story »

How to tune out common odors and focus on important ones

5/11/2020

The fly brain uses a simple computing trick to ignore prevalent odors and focus on newer but rarer odorants. Read the story »

A science career path: David McCandlish

4/10/2020

Assistant Professor David McCandlish is a quantitative biologist who walks the line between advanced mathematics and the life sciences at CSHL. Read the story »

What Google could learn from a fruit fly

1/21/2020

By tapping into life’s algorithms, scientists are finding elegant solutions to some of the hardest problems in computer science. Read the story »

Saket Navlakha taps the power of biology and computers

12/17/2019

Associate Professor Saket Navlakha is bringing ideas about “algorithms in nature” to the Simons Center for Quantitative Biology. Read the story »

The Lab partners with award-winning magazine

12/6/2019

Nautilus, an award-winning science magazine, has partnered with CSHL to bring the story of the lab’s scientists and research to a brand-new audience. Read the story »

Research profile: Adam Siepel

11/12/2019

Adam Siepel, Chair of the Simons Center for Quantitative Biology, uses advanced computational methods to solve complex biological questions. Read the story »

Peter Koo wants to understand how machines learn biology

9/20/2019

Dr. Peter Koo joins the CSHL faculty as an assistant professor. His focus is on exploring how artificial intelligence integrates with biology and genomics. Read the story »

Hannah Meyer joins CSHL Quantitative Biology faculty

3/26/2019

Hannah Meyer is the newest Quantitative Biology Fellow at CSHL, studying how our immune system learns to identify and fight pathogens. Read the story »

How does math help us understand the brain?

1/31/2019

An exploration of how computational neuroscientist Tatiana Engel uses math to understand how the brain makes decisions. Read the story »

The big problem of small data: A new approach

10/18/2018

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. Read the story »

Evolving sets of gene regulators explain some of our differences from other primates

1/29/2018

What makes us different from our primate relatives? Gene regulation is one important evolutionary factor Read the story »

Partha Mitra

7/24/2017

The biggest beast in the Big Data forest? One field’s astonishing growth is, well, ‘genomical’!

7/6/2015

Scientists work to figure out how to capture, store, process and interpret all that genome-encoded biological information. Read the story »

CSHL quantitative biologist Michael Schatz awarded 2015 Sloan Foundation Research Fellowship

2/20/2015

Associate Professor Michael Schatz receives a 2015 Alfred P. Sloan Foundation Research Fellowship Read the story »