Barnard Computer Science Seminar

Barnard Computer Science

Variational Bayesian Methodologies for the Life Sciences, Computer Science Seminar, Antonio Khalil Moretti (Roc Capital)

Barnard College - Milstein Center or via Zoom

Talk Title: Variational Bayesian Methodologies for the Life SciencesAbstract: Bayesian statistics has experienced a rapid growth in popularity due to advances in approximate inference techniques coinciding with increases in computational resources. As transistor counts across microprocessors have skyrocketed, what were once theoretically appealing methodologies applicable only to textbook problems are now the predominant approach to modern machine learning. Computational statistics and Bayesian machine learning play a central role within the natural sciences, however the life sciences and the field of biology is uniquely positioned to undergo a historical period of discovery analogous to that of the early 20th century for the physical sciences. We will discuss the use of approximate Bayesian inference to address open problems in the life sciences and highlight several recent contributions to variational Bayesian inference in phylogenetics. The seminar will be available for Zoom participation. People in the Barnard/Columbia community who have authorized access to Barnard indoor spaces can participate in person if desired. If you would like to receive the Zoom link or join in person, please register.

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Barnard Computer Science Seminar

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Barnard Computer Science Seminar

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