Machine Learning and Computation in Structural Biology

Friday, October 25, 2024

Bioscience Research Collective, 6500 Main St., Houston, TX

Machine learning and computational methods are rapidly advancing in many areas of biomedical research. In this conference, leaders in the field will highlight how these state-of-the-art developments have changed structural biology. The conference and poster session will also highlight the outstanding research underway by predoctoral and postdoctoral trainees in the seven inter-institutional training programs administered by the GCC/Keck Center in the greater Houston area.

Confirmed Speakers:

Alisia Fadini, PhD, Research Associate, Cambridge Institute for Medical Research, University of Cambridge

Lydia Kavraki, PhD, Professor, Computer Science, Mechanical Engineering, Bioengineering, Electrical and Computer Engineering; Director, The Ken Kennedy Institute, Rice University

Andrej Sali, PhD, Professor, Bioengineering and Therapeutic Sciences, University of California San Francisco

Abhishek Singharoy, PhD, Assistant Professor, Molecular Sciences, Arizona State University

Jeremy Smith, PhD, Professor, Biochemistry & Cellular and Molecular Biology; Director, UT-ORNL Center for Molecular Biophysics, University of Tennessee-Oak Ridge National Laboratory

 

Conference Organizers:

Matthew Baker, PhD, Assistant Professor, Biochemistry and Molecular Biology, UT Health Science Center at Houston

Monte Pettitt, PhD, Professor, Biochemistry and Molecular Biology, UT Medical Branch at Galveston