About Open Labs

In parallel with Nightingale Open Science, Ziad Obermeyer and Sendhil Mullainathan also lead Nightingale Open Labs, a research network housed jointly at UC Berkeley and the University of Chicago. We work on research projects that blend machine learning, economics, and medicine, to answer some of the most important questions in health. Here are some of the projects we're working on now:

A randomized clinical trial of an algorithm to diagnose heart attack

in partnership with Bill Wright (Providence St. Joseph), Jason Abaluck (Yale SOM) and Leila Agha (Dartmouth Economics) 

Drawing on our work showing that machine learning can help doctors diagnose heart attack in the ER, we are designing and deploying a large-scale randomized trial of the algorithm in multiple hospitals across the Providence system. This will teach us about how doctors interact with and adopt algorithms, and whether or not better predictions actually translate into better health outcomes.  

 

Sudden cardiac death

in partnership with Markus Lingman (Region Halland and AI Swede of the Year)

In the US alone, 300,000 people drop dead of sudden cardiac death every year. What makes this particularly tragic is that implantable defibrillators could have prevented many of these deaths—if we had just known which patients needed it. Machine learning predictions on risk of sudden cardiac death could one day help target defibrillators to patients who need them. 

 

Covid vulnerability

in partnership with Providence St. Joseph, and Aleksander Madry (MIT EECS)

In ERs across the world, doctors facing bed shortages must decide if patients with respiratory infections like COVID-19 are safe to go home, or need hospital-level monitoring. The current state of medical knowledge is failing here: some patients in the hospital ultimately do not require advanced care, wasting beds; others are sent home, only to deteriorate rapidly. Linking chest x-ray data to pulmonary outcomes will enable us to create tools to optimize triage and diagnosis.


Our Team


Current Fellows:

Jonas Knecht
Jonas Knecht
University of Warwick
Jack Luby
Jack Luby
Harvard University
James Ross
James Ross
University of Chicago
Celia Cook
Celia Cook
University of Chicago
Coming soon outline image
Tarun Yadav
Williams College
We hire 1-2 pre-doctoral fellows every year. Previous fellows have gone on to top-ranked PhD, MD, and MD/PhD programs, as well as careers in industry. Interested in becoming one of our pre-doctoral fellows? We'd love to hear from you.


Previous fellows and where they went next:

Shreyas Lakhtakia
Shreyas Lakhtakia
Flatiron
shreyaslakhtakia@gmail.com
Maximilian Pany
Maximilian Pany
MD/PhD, Harvard Medical School / Harvard Business School
mpany@hbs.edu
Cassidy Shubatt
Cassidy Shubatt
PhD, Harvard Economics
cshubatt@gmail.com
Aly Valliani
Aly Valliani
MD, Icahn School of Medicine at Mount Sinai
aavalliani@gmail.com
Maggie Makar
Maggie Makar
PhD, MIT EECS
mmakar@umich.edu
Lia Petrose
Lia Petrose
PhD, MIT Economics
Liapetrose@gmail.com
Advik Shreekumar
Advik Shreekumar
PhD, mit Economics
advikshreekumar@gmail.com
Katie Lin
Katie Lin
Nightingale then Flatiron
katielin2532@gmail.com
Evan Flack
Evan Flack
PhD, Stanford Economics
evanjflack@gmail.com
Adam Baybutt
Adam Baybutt
PhD, UCLA Economics
adam.baybutt@gmail.com
Coming soon outline image
Ruchi Mahadeshwar
PhD, Brown Economics
mahadeshwar.ruchi@gmail.com
Vanessa Ridley
Chief Healthcare Compliance Officer
University of California San Francisco
Harlan Krumholz
Professor of Medicine
Yale School of Medicine
Barbara J. McNeil
Head of the Department of Health Care Policy
Harvard Medical School

PhD Students

We also work with a number of PhD students at Berkeley, Chicago, MIT, Stanford, and Harvard.
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