Virtual Career Fair for Statisticians in the High-Tech Industries

About the Speakers

Amir Najmi, Principal Data Scientist, has worked at Google for 16 years, the last six at Google San Francisco helping Google make better product decisions through cross-product data analysis. For the decade before that, Amir worked in Search Ads Quality where he also led the data science team. His technical interests include large scale experimentation, prediction, causal inference, the role of human insight in machine learning and in "quality". Editor of the Data Science blog, he has been very involved in hiring for and developing the Data Science ladder at Google over the last few years. He has a PhD from Stanford University where he studied information theory and statistics.

Martin Tingley leads a multidisciplinary team on the Netflix Experimentation Platform, focused on developing  and scaling both statistical methodology and software solutions to improve decision-making across the company. Prior to joining Netflix in 2017, Martin spent several years modeling and pricing catastrophe risk at Insurance Australia Group. In an earlier academic career, Martin was an Assistant Professor in Statistics and Meteorology at Penn State University. Martin holds a Ph.D. in Earth and Planetary Sciences and an M.A. in Statistics from Harvard University, and a B.Sc. in Physics from the University of Toronto. 

Elliott Merriam obtained a Ph.D in Neuroscience at the University of Wisconsin-Madison in the lab of Dr. Erik Dent, where he studied the effects of neural activity and synaptic communication on molecular dynamics in living brain cells using real-time fluorescence microscopy.  After the Ph.D., Elliott was a Senior Fellow at the University of Washington in the lab of Dr. Larry Zweifel, where he studied the neural circuitry underlying motivated behaviors in mice. Following his postdoctoral fellowship, and before transitioning into Data Science, Elliott joined the patent practice of law firm Wilson Sonsini Goodrich & Rosati, where he worked on patent applications and litigation matters.  To pursue a career in Data Science, Elliott accepted a fellowship in the Insight Data Science program, which led to a role as Data Scientist for iSpot.tv, a television advertising analytics company. After iSpot, Elliott joined Facebook, where he has worked as a Data Scientist on integrity and security problems for the past 4 years.