Data Science Spring 2021 Speaker Series

The Goergen Institute for Data Science is proud to announce our Data Science Spring 2021 Speaker Series!

Join us for a series of free, virtual research talks given by faculty and research leaders from across the globe. All talks are on Fridays from 2-3 p.m.

View the event poster (pdf).

This spring's lineup includes:

• 2/19 - SLIDE: Commodity Hardware is All You Need for Large-Scale Deep Learning, with Anshumali Shrivastava, Assistant Professor of Computer Science, Rice University
  • Zoom link: https://rochester.zoom.us/j/92946169954
• 3/12- AI-Powered Extraction of Knowledge from Social Media, with Yiannis Kompatsiaris, Research Director, Information Technologies Institute (ITI), Centre for Research & Technology Hellas (CERTH)
  • Zoom link: https://rochester.zoom.us/j/98073317071
• 3/26- Subvector Inference in Partially Identified Models with Many Moment Inequalities, with Alexandre Belloni, John D. Forsyth Professor of Business Administration and Statistical Science, Duke University
  • Zoom link: https://rochester.zoom.us/j/93494510361
• 4/2- Interpretable Prediction of Obstructive Lung Disease from Chest Radiographs with Deep Learning, withTolga Tasdizen, Professor of Electrical and Computer Engineering, University of Utah
  • Zoom link: https://rochester.zoom.us/j/97885004386
• 4/16 - (Re-)Imag(in)ing Price Trends, with Dacheng Xiu, Professor of Econometrics and Statistics, Booth School of Business, University of Chicago
  • Zoom link: https://rochester.zoom.us/j/93334004858
• 4/23 - Using Data Science to Uncover the Morphogenetic Blueprints of the Fly Embryo, with Tomer Stern, Postdoctoral Research Fellow, Princeton University
  • Zoom link: https://rochester.zoom.us/j/95150800076
• 4/30 - Design for Inference and the Power of Random Experiments in Biology, with Aviv Regev, Head of Research and Early Development at Genentech
  • Zoom link: https://rochester.zoom.us/j/96981374405