Please use this zoom link for the event.
Please join us for a UW Data Science Seminar event on Tuesday, November 16th from 4:30 to 5:30 p.m. The seminar will feature Tucker Burgin, Chemical Engineering Postdoctoral Fellow at the eScience Institute, and Orion Dollar, a PhD candidate at the University of Washington.
“You May Not Have Noticed, but Your Neural Network Did: Machine Learning from Simulated Enzyme Variants”
Biography: Tucker Burgin is a postdoctoral researcher in the Department of Chemical Engineering at the University of Washington, as well as a postdoctoral fellow with the eScience Institute. His work focuses on applying machine learning and data science to molecular simulations in order to obtain insights about and intelligently navigate within extremely high-dimensional enzyme design spaces. He holds a Ph.D. in Chemical Engineering from the University of Michigan.
Before coming to the University of Washington, Tucker completed his Ph.D. in Chemical Engineering at the University of Michigan, where he developed a software package called ATESA in order to automate and improve the unbiased discovery of rare event mechanisms with transition path sampling. This research was supported by two fellowships with the Molecular Sciences Software Institute (MolSSI). Prior the the University of Michigan, Tucker completed a B.S. and M.S. in Biomedical Engineering at the University of Rochester.
In the long term, Tucker hopes that his research will expand the reach of enzyme engineering in order to enhance extant technologies and enable new ones in renewable energy, biopharmaceuticals, and green manufacturing.
“Giving Attention to Generative Models for De Novo Molecular Design”
Biography: Orion Dollar is a PhD candidate in the Department of Chemical Engineering at the University of Washington. His work involves employing artificial intelligence to enhance the speed and efficiency of functional materials discovery, with a particular focus on merging data from disparate sources such as molecular structures/properties databases and scientific corpora using a unified multimodal framework. He holds an MS in Environmental Engineering from the University of Kansas.
The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.
The 2021-2022 seminars will be hybrid virtual and in-person events, and are free and open to the public.