Manu Setty, PhD

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Dr. Manu Setty PhD
Faculty Member

Manu Setty, PhD

Assistant Professor, Basic Sciences Division, Fred Hutch

Assistant Professor
Basic Sciences Division, Fred Hutch

Assistant Professor, Herbold Computational Biology Program, Public Health Sciences Division, Fred Hutch

Assistant Professor, Herbold Computational Biology Program
Public Health Sciences Division, Fred Hutch

Member, Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch

Member
Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch

Mail Stop: S2-140

Today’s scientific techniques make it possible for researchers to examine the inner workings of individual cells — and produce massive amounts of data in the process. Dr. Manu Setty takes a multi-disciplinary approach to develop computational methods that make it possible to analyze and understand today’s enormous datasets. In particular, he focuses on the complex regulatory interactions that govern cell-fate choice, or how non-specialized cells choose to become cells with specialized functions. He has identified gene networks that regulate embryonic development as well as those that regulate production of blood cells in adult bone marrow. This cellular decision-making can go wrong in diseases like cancer, in which once-specialized cells sometimes regress and regain characteristics of their earlier selves that drive excessive growth. Setty seeks to understand cell-fate choice under normal conditions as a foundation for understanding how this process goes awry in disease. 

Education

Sloan Kettering Institute New York, 2019, Postdoc (Computational Biology)

Cornell University New York, 2014, PhD (Computational Biology)

Columbia University New York, 2009, MSc (Computer Science)

National Institute of Technology Surathkal, India, 2006, BSc (Computer Science & Engineering)

Research Interests

Develop novel computational methods for modeling and integration of single-cell genomics data

Gene regulatory mechanisms that drive developmental trajectories

Investigate cell communication signals shaping lineage decisions

Dysregulation of regulatory mechanisms in disease

"I’m a strong believer in using technology as a driver for discovery."

— Dr. Manu Setty

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