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.

CRISPR/Cas9
screens

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

Yejia Chen

Senior Software Engineer

Ashir Borah

Associate Computational Biologist II

Gwen Miller

Broad Cancer Scholar - Associate Computational Biologist

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

Alumni

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

CDS Outings

Join Us

Bioinformatics Engineer

Apply here

We are looking for a talented bioinformatics engineer to join the Cancer Data Science team to help build and run the cutting-edge computational pipelines that will help power the next phase of the Cancer Dependency Map project.

Associate 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.

Publications

Selected publications

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.
Cell
July 2017

Accompanying website: https://depmap.org/rnai

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 broadinstitute.org