Understanding the Science of Disease Through Human Genome Research with Manolis Kellis

MIT CSAIL Professor Manolis Kellis discusses how the symbiotic relationship between computer science and biology helps us to better understand the complex programming language that is our DNA. Through DNA, we can find the molecular basis of the pathophysiology of a disease and take a more holistic approach to disease treatment, and one day may even predict disease. He explains the impact of human genome and epigenome research on the pharmaceutical industry in developing medicine that is both precise and personalized, dramatically transforming the therapeutic landscape. Manolis Kellis Principal Investigator, MIT CSAIL, Professor of Computer Science, Computational Biology Group leader https://cap.csail.mit.edu/podcasts/understanding-science-disease-through-human-genome-research Download the podcast transcript: https://cap.csail.mit.edu/sites/default/files/research-pdfs/Podcast_ManolisKellis_04_29_2020.mp3_.pdf

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MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) Alliances serves as a gateway into the lab for industry and governmental institutions seeking a closer connection to the work, researchers, and students of CSAIL. Our podcast aims to provide inside access to topics covered by CSAIL and other leaders advancing computer science and AI research.