AI and the Study of Life
Thursday, April 24
4 to 6:30 p.m.
Rose Auditorium, Carnegie Building
The Data Science and AI Institute, in collaboration with the Krieger School of Arts and Sciences (KSAS), continues its series of symposia exploring the intersection of AI with the humanities, natural sciences, and social sciences. The goal is to create a community of scholars whose interests include using AI tools in their research and/or are studying AI’s impact on society.
In this symposium, speakers will address how AI is contributing to the study of life. The symposium will begin with deep-learning algorithms in the study of self-assembly and self-organization in cell biology. Next, the symposium will address computational and statistical approaches to study human genome function, diversity, and evolution. Finally, this subject will be followed by a discussion on both AI-based protein design and solutions to computational problems in genomics research.
Speakers:
4:00-4:30 p.m.: Margaret Johnson, Department of Biophysics
4:30-5:00 p.m.: Rajiv McCoy, Department of Biology
5:00-5:30 p.m.: Doug Barrick, Department of Biophysics
5:30-6:00 p.m.: Michael Schatz, Departments of Biology and Computer Science
6:00-6:30 p.m. Reception
Please register for this in-person event.