Seminar Archives

Speaker: Dr. Seema Lakdawala

Assistant Professor, Department of Microbiology and Molecular Genetics

University of Pittsburgh

Host: Dr. Peter Kasson

Via Zoom

The department (virtual) research retreat will be held on Monday, October 26, 2020.  Dr. Eva Nogales (UC Berkeley, Lawrence Berkeley Labs, HHMI) will be our keynote speaker at 1:00 p.m..

More details will be posted when available.

Speaker:  Dr. Ken A. Dill, PhD

Director,  Distinguished Professor of Physics, Chemistry & Applied Math

Louis & Beatrice Laufer Endowed Chair

Laufer Center for Physical and Quantitative Biology

Stony Brook University

Stony Brook, NY

Host:  Dr. Peter Kasson, MD, PhD

Thesis Defense: Christopher Caffalette

Molecular Physiology and Biological Physics

Host: Dr. Jochen Zimmer

Speaker: Dr. Neha Kamat, PhD

Assistant Professor

Department of Biomedical Engineering, Northwestern University

Host: Dr. Peter Kasson, MD, PhD

Amanda Ward – PhD Defense

Host: Dr. Lukas Tamm

Speaker: Dr. Wouter Roos

Professor, Department of Molecular Biophysics, University of Groningen

Host: Dr. Owen Pornillos

Speaker: Dr. Lian Guo

Department of Surgery

University of Virginia

Host: Dr. Lukas Tamm

Speaker: Dr. Suliana Manley

Associate Professor of Physics

Ecole Polytechnique Federale de Lausanne

Host: Dr. Peter Kasson

Speaker: Prof. Sarel-Jacob Fleishman

Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel

Host: Dr. Peter Kasson

Speaker: Dr. Elizabeth Villa

Assistant Professor

Department of Molecular Biology
University of California, San Diego

Host:  Owen Pornillos and Mark Yeager

Speaker: Dr. Debora Marks

Associate Professor

Department of Systems Biology
Harvard Medical School

Host: Dr. Michael Wiener

Prediction and design of proteins with neural machines

What can we do with billions of genomes and immune repertoire sequences? We now an amazing opportunity to develop machine learning methods that can exploit this enormous natural diversity to predict the effects of human genetic variation, to predict how viral genomes may evolve and to design biological sequences for therapeutics and biotechnology. I will demonstrate how unsupervised probabilistic generative modeling of sequences can give surprisingly direct answers to questions about 3D structures, dynamics, genetic variation and the design of biological molecules optimized for specific functions.  I will end by introducing challenges for extending these methods to diverse applications to a broad range of biotechnology applications.

Speaker: Dr. Victoria D’Souza

Professor

Department of Molecular and Cellular Biology
Harvard University

Host: Owen Pornillos