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R STATISTICS

James Curley, 4 December 2017

James is an Associate Professor in the Department of Psychology at University of Texas Austin in the Behavioral Neuroscience division. He received a Ph.D. from Cambridge University in 2003 and completed post-doctoral research at Cambridge University and Columbia University before becoming an Assistant Professor of Psychology at Columbia University in 2012. Dr. Curley’s current research interests are in studying the social dynamics of animals. Dr. Curley teaches several undergraduate and graduate courses, including R programming for Behavioral Scientists and Statistics & Research Design.

R STATISTICS

Zev Ross, 6 November 2017

Zev is the President of ZevRoss Spatial Analysis, a company that focuses on data science, machine learning, and development of data applications with a focus on spatial data. He is the author or co-author of over 40 peer-reviewed publications that focus on public health, spatial analysis and statistics. Zev also runs a popular data science blog and teaches workshops on spatial analysis and machine learning with R.

R BIG DATA

Simon Urbanek, 22 September 2017

Simon Urbanek is a member of the R-Core and Lead Inventive Scientist at AT&T Labs Research. His research is in the areas of R, statistical computing, visualization, and interactive graphics.

R BIG DATA

Michael Kane, 22 September 2017

Michael Kane is an Assistant Professor at Yale University. His research is in the area of scalable statistical/machine learning and applied probability.

PYTHON NATURAL LANGUAGE PROCESSING

Alan Nichol, 13 June 2017

Alan is co-founder and CTO of Rasa, the leading open source conversational AI company. Rasa builds software that enables developers to build conversational software that really works, and is trusted by thousands of developers in enterprises worldwide. Rasa combines applied AI research with enterprise-ready technology. Alan holds a PhD in machine learning from the University of Cambridge and has years of experience building AI-powered products in industry.

PYTHON MACHINE LEARNING

Sergey Fogelson, 4 August 2017

Sergey began his career as an academic at Dartmouth College, where he researched the neural bases of visual category learning and obtained his Ph.D. in Cognitive Neuroscience. After leaving academia, Sergey got into the rapidly growing startup scene in the NYC metro area, where he has worked as a data scientist in digital advertising, cybersecurity, finance, and media. He is heavily involved in the NYC-area teaching community and has taught courses at various bootcamps, and has been a volunteer teacher in computer science through TEALSK12.

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