StanCon 2017 Presenter Bios
Morning Session
Jonathan Auerbach is a PhD candidate in the Department of Statistics at Columbia University.
Milad Kharratzadeh is a Postdoctoral Research Scientist in Statistics at Columbia University working with Andrew Gelman. He is jointly appointed at the Earth Institute and the Data Science Institute. His main focus is on developing new statistical methods and using hierarchical Bayesian models for analyzing social, environmental, and health data.
Victor Lei is a data scientist with the Applied Analytics group at Legendary Entertainment. He has a varied background, with experience in law, computer science and finance.
Woo-Young (Young) Ahn is an assistant professor in the Department of Psychology and Translational Data Analytics at the Ohio State University. He earned his Ph.D. in clinical science from Indiana University, Bloomington, S.M. in applied physics from Harvard University, and B.S. in materials science and engineering from Seoul National University.
Charles Margossian is a visiting scientist at Metrum Research Group, a biomedical lab that specializes in modeling and simulation. He joined Stan’s development team this September to work on tools for differential equation based models.
Afternoon Session
Teddy Groves completed his PhD in inductive logic and philosophy of statistics at Kent University and now works for Football Radar, a football statistics company based in London. His interests include politics, Rudolf Carnap’s writing about probability and applying statistical methods to football.
Bruno Nicenboim is a PhD candidate at the Department of Linguistics of the University of Potsdam, Germany. His research focus is on cognitive models that link memory processes with sentence comprehension, taking into account individual differences. He currently teaches graduate and undergraduate level courses at the University of Potsdam.
Rob Trangucci is a statistician in NYC working with the Stan team.
Nathan Sanders is the Senior Director of Quantitative Analytics at Legendary Entertainment and has used Stan to model systems in astronomy, film, environmental policy, public health, and more.