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November 24, 2015

Career Panel | WiDS 2015

About This Video

Panel Discussion: Career Paths in Data Science
Moderator: Kara Swisher, Re/code
Jennifer Tour Chayes, Microsoft Research
Aleksandra Korolova, USC
Shubha Nabar, Salesforce
Bin Yu, UC Berkeley

In This Video
Director, Microsoft Research

Assistant Professor of Computer Science and Public Affairs at Princeton

I study societal impacts of algorithms and machine learning, and develop and deploy algorithms and technologies that enable data-driven innovations while preserving privacy and fairness. More at

Co-Founder, Faros AI

Passionate about building machine learning products and data science teams. Currently, learning how to build a company as well. Previously, built the Einstein Platform at Salesforce to democratize access to machine learning technologies for the hundreds of thousands of businesses that use Salesforce everyday.

Chancellor's Distinguished Professor, Class of 1936 Second Chair, Statistics, EECS, CCB, UC Berkeley

Bin Yu is an American Statistician and Data Scientist at University of California at Berkeley. She holds faculty appointments in the departments of Statistics and EECS. Her research focuses on practice, algorithm, and theory of statistical machine learning and causal inference. Her group is engaged in interdisciplinary research with scientists from genomics, neuroscience, and precision medicine.