Fighting Cancer with Machine learning
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Research Focus

We are building the Cancer Dependency Map: an effort to systematically identify the chemical and genetic vulnerabilities of different cancer cells, as well as their predictive biomarkers.

Precision cancer medicine

We build predictive models to predict cancer vulnerabilities from genomic profiles of tumors and cancer cell lines.

Cancer Targets Identification

We integrate functional screening and 'omics data to identify novel cancer targets as well as drugs for repurposing.


We develop computational methods and tools to facilitate the analysis of CRISPR screening in cancer models.

Small-molecule screens

We analyze highly-multiplexed small-molecule screening data from the PRISM platform to discover novel cancer therapeutic leads.

Our Team

Aviad Tsherniak

Founder and Scientific Advisor

Philip Montgomery

Sr Principal Software Engineer

Mike Burger

Senior Computational Associate

James McFarland

Group Leader

Josh Dempster

Data Scientist II

Jérémie Kalfon

Associate Computational Biologist II

Andrew Tang

Sr. Visual Designer

Mustafa Kocak

Computational Scientist II

Josh Pan

Postdoctoral fellow

Ashir Borah

Associate Computational Biologist II

William Colgan

Associate Computational Biologist II

Andrew Boghossian

Associate Computational Biologist II

Javad Noorbakhsh

Computational Scientist II

Lena Joesch-Cohen

Associate Computational Biologist I

Isabella Boyle

Associate Computational Biologist I

Kwabena Ofori-Atta

Associate Computational Biologist I

David Wu

Associate Computational Biologist I

Jessica Cheng

Associate Software Engineer

Alexandra Mourey

Associate Software Engineer

Randy Creasi

Senior Software Engineer

Simone Zhang

Bioinformatics Engineer


Han Xu

Associate Professor, MD Anderson

Robin Meyers

Graduate Student, Genetics, Stanford University

Jared Jacobsen

Studying for AI Research

Li Wang

Computational Biologist, 10X Genomics

Jordan Bryan

Graduate Student, Statistics, Duke University

Kailash Nakagawa

Undergraduate Student, Stanford University

Quinton Wessells

Graduate Student, Biomedical Informatics, Stanford University

Remi Marenco

Bioinformation Lead, Cancer Cell Line Factory

Guillaume Kugener

Medical Student, USC

Zandra Ho

Medical Student, Brown

Andy Jones

Graduate Student, Computer Science, Princeton University

Jordan Rossen

Graduate Student, Epidemiology, Harvard University

Vickie Wang

MD-PhD Student, Neuroscience, University of Pennsylvania

Mariya Kazachkova

Graduate Student, Biomedical Sciences, UCSD

Phoebe Moh

Graduate Student, Computer Science, University of Maryland

Allie Warren

Associate Computational Biologist II

Neekesh Dharia

Medical Director, Genentech

Nishant Jha

Software Engineer

Josephine Lee

Senior Software Engineer

Yejia Chen

Senior Software Engineer

Gwen Miller

PhD Student, Bioinformatics and Integrative Genomics, Harvard University

CDS Outings

Join Us

Portal Scientific Lead

Apply here

We are seeking an enthusiastic and talented scientist to lead our efforts to create an exciting next phase of the DepMap Portal. In this role, you will work closely with the DepMap scientific leadership to define the strategic vision for the DepMap portal and help shape its evolution for the benefit of the global scientific community.

Software Engineer

Apply here

We are seeking an exceptional software developer to join the Cancer Data Science group to build tools and portals. In the Cancer Data Science group, we leverage data science approaches to understand cancer biology and support translational efforts.


Selected publications

A first-generation pediatric cancer dependency map

Neekesh V. Dharia et al.
Nature Communications
March 2021

Integrated cross-study datasets of genetic dependencies in cancer

Clare Pacini et al.
Nature Communications
March 2021

Chronos: a CRISPR cell population dynamics model

Joshua M. Dempster et al.
February 2021

Global computational alignment of tumor and cell line transcriptional profiles

Allison Warren et al.
Nature Communications
January 2021

Defining a Cancer Dependency Map

Aviad Tsherniak et al.
July 2017

Accompanying website:

Other publications

Mutational processes shape the landscape of TP53 mutations in human cancer

Andrew Giacomelli et al.
Nature Genetics
September 2018

Contact Us

James McFarland

Cancer Data Science
Broad Institute of MIT and Harvard
415 Main Street
Cambridge, MA 02142

Email: jmmcfarl at