Dustin Tran
I am a senior staff research scientist at Google DeepMind. I lead evaluation for Gemini / Bard. I also drove workstreams enabling #1 on LMSYS via frontier evaluation and posttraining research. Prior to Gemini, my most notable works are in infrastructure (Mesh TensorFlow, Tensor2Tensor, TensorFlow Probability, Edward), modeling (Image Transformer, Automatic Differentiation Variational Inference), a
Modeling Social Data
Spring 2019 Department of Applied Physics and Applied Mathematics Columbia University Course Number: Applied Mathematics E4990 Time: Fridays, 10:10am-12:40pm Location: 602 Hamilton Hall Instructor: Jake Hofman, Adjunct Assistant Professor & Senior Researcher at Microsoft Research Contact: jmh2045 [at] columbia [dot] edu Course discussion: Piazza This class focuses on data-driven models for social
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WuLab at Columbia
Thibault Sellam
The Machine Learning Track | Department of Computer Science, Columbia University
Jason Nieh
Columbia University Data Science Institute
http://www.columbia.edu/itc/applied/wiggins/DSatW-wiggins.pdf
http://columbiadatascience.com/
Data-driven modeling / Overview
COMS 6998-12: Dealing with Massive Data
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