The Revolutionary Potential of AI with CSAIL Professor Manolis Kellis

In this episode

Have we achieved Artificial General Intelligence? MIT CSAIL Professor Manolis Kellis argues yes. Computers can do nearly every intellectual task that humans are capable of and are rapidly tackling the physical tasks. What does this mean for the future of AI integration, regulation, and development? Hear Professor Kellis’ ideas about how businesses can incorporate LLMs (large language models) to minimize silos, why we shouldn’t put up too many guardrails on AI technology, and how human-AI collaboration can lead to broader societal benefit, including healthcare. In his research, Professor Kellis is working toward a future where AI transforms healthcare through a deeper understanding of our individual genetics and targeted treatment development.

Find a full transcript here.

Learn more about Professor Kellis’ lab and research on his website or CSAIL page.

To learn about CSAIL's Professional Development Courses, including the upcoming Cybersecurity for Technical Leaders and Deploying AI courses, visit here. Podcast listeners save 10% on courses with code MITXPOD10.

Watch the conversation between Professor Kellis and reporter Kara Miller for the CSAIL Alliances Podcast.

About the speakers

Manolis Kellis

Professor, MIT CSAIL

Professor Manolis Kellis obtained his PhD from MIT where he received the Sprowls award for the best doctorate thesis in computer science and the first Paris Kanellakis graduate fellowship. Kellis is also an Associate Professor of Computer Science at MIT, a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and of the Broad Institute of MIT and Harvard, where he directs the MIT Computational Biology Group. He has received a number of awards including: the US Presidential Early Career Award in Science and Engineering (PECASE), the NSF CAREER award, the Alfred P. Sloan Fellowship, and the Karl Van Tassel chair in EECS. Prior to computational biology, Kellis worked on artificial intelligence, sketch and image recognition, robotics, and computational geometry at MIT and at the Xerox Palo Alto Research Center.

Industry Impact
Manolis Kellis' research interests are in the area of computational biology, genomics, epigenomics, gene regulation, and genome evolution.

In the area of genome interpretation, we seek to develop comparative genomics methods to identify genes and regulatory elements systematically in the human genome.
In the area of gene regulation, we seek to understand the regulatory motifs involved in cell types specification during development, understand their combinatorial relationships, and how these establish expression domains in the developing embryo.
In the area of epigenomics, we seek to understand the chromatin signatures associated with distinct activity states, the changing chromatin states across different cell types and during differentiation, and the sequencing signals responsible for the establishment and maintenance of chromatin marks.
In the area of evolutionary genomics, understanding the dynamics of gene phylogenies across complete genes, the emergence of new gene functions by duplication and mutation, and the algorithmic principles behind phylogenomic.

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