———- Forwarded message ———
From: Hank Levy <levy@cs.washington.edu>
Date: Tue, May 21, 2019 at 12:05 PM
Subject: THURSDAY 1:30: Symposium on Machine Learning for Protein Design
The UW Institute for Protein Design (IPD) is hosting an afternoon (THIS THURSDAY) of talks by researchers who work in the interdisciplinary field of protein design and machine learning. CSE undergraduate and graduate students who are interested in collaborative research in the protein design field are very welcomed! Come hear from David Baker (UW Professor and one of the world’s leading experts in protein design) and others about this research and research opportunities.
May 23, 2019, 1:30p – 4:00p
CSE2 (Zillow Commons)
Reception to follow the talks with finger foods and non-alcoholic beverages provided. Mingle with the speakers as well as current members of the Baker lab!
Speakers include:
UW professor and TED speaker David Baker, director of the IPD, who will share how his lab is leveraging decades of biophysical data to create software to design brand new biomolecules that fight cancer, degrade gluten, and act as potent vaccines.
UW Associate Professor Frank DiMaio will describe efforts in developing automated approaches to improve the molecular energy function used in Rosetta, and the development of GPU-enabled versions of basic Rosetta algorithms.
Professor Jinbo Xu, senior fellow at the Computational Institute at the University of Chicago, who will share how his team built one of the best-in-class deep-learning tools for modeling the structure of natural proteins based on information encoded in DNA.
UW PhD student, Nao Hiranuma, who will share his approach to incorporate deep learning techniques to boost the performance of the current refinement protocol in the Rosetta framework.
Thanks!
Hank