"Cells in Latent Spaces: What deep learning models can teach us about biology of cancer"

Biological Systems are natural targets for modeling with deep learning approaches due to their massively parallel and inherently coupled nature. In this talk, I will explore how modern deep learning approaches, coupled with high throughput modalities can help us build truly predictive models of biological systems - focusing on cancer biology questions. I will also briefly discuss epistemological, social and ethical implications of these developments.

Dr. Emek Demir is a computational biologist who focuses on integrating rich, detailed pathway information and using the resulting "cell maps" to answer cancer biology problems.

11:50 am- Snacks & Socializing
noon- Talk Begins