On Wednesday, April 7, Damon Runyon Quantitative Biology Fellows and distinguished leaders from our selection committee discussed pioneering a new field at the nexus of laboratory-based cancer research and data science.
Computational biologists apply theoretical principles and develop analysis and inference methods to decipher and understand biological systems. They are experts in quantitative approaches, data science and algorithms, while also having in-depth knowledge of complex biological processes. Particularly in cancer biology, there is a growing need for computational biology leaders with expertise and understanding in both quantitative and biological sciences.
The Damon Runyon Quantitative Biology Fellowship Award program is designed to encourage quantitative scientists (trained in fields such as mathematics, computer science, physics, engineering, or related) to pursue research careers in computational biology under the joint mentorship of leaders in both computational science (“dry lab”) and cancer biology (“wet lab”).
Panel Speakers:
Siting Gan, PhD
Memorial Sloan Kettering Cancer Center
Dr. Gan studies brain metastasis of lung and breast cancers, applying the latest single-cell technologies and developing computational tools to dissect how tumor cells interact with resident brain cells to mediate the progression of cancers.
Vitor Mori, PhD
University of Vermont
Dr. Mori develops mathematical models of biological systems to understand the pharmacodynamics of the chemotherapy cisplatin following its direct injection into lung tumors to maximize therapeutic effects.
Hang Xu, PhD
Stanford University School of Medicine
Dr. Xu investigates the overall effect of chromosome instability on cancer progression and response to therapy by combining mathematical modeling, computational simulation, and a powerful 3D organoid experimental system.
Special thanks to our moderators:
Todd R. Golub, MD
Director and Founding Core Institute Member
Broad Institute of MIT and Harvard
Damon Runyon Board Member
Chair, Damon Runyon Quantitative Biology Fellowship Award Selection Committee
Caroline Uhler, PhD
Co-Director, Eric and Wendy Schmidt Center
Broad Institute of MIT and Harvard
Henry L. and Grace Doherty Associate Professor
Department of Electrical Engineering and Computer Science and Institute for Data, Systems and Society
Massachusetts Institute of Technology
Member, Damon Runyon Quantitative Biology Fellowship Award Selection Committee