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Jason Altschuler is an Assistant Professor at the University of Pennsylvania, where he specializes in Statistics and Data Science. His research interests broadly cover interface optimization, probability, and machine learning, with a focus on the design and analysis of efficient algorithms. Jason has received his undergraduate degree from Princeton University and a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT). He has practical experience in implementation theories, having worked with leading tech firms like Apple Research and Google Research, as well as financial institutions such as DE Shaw and Tower Research. In addition to his research endeavors, he is an active educator, having taught various courses at UPenn including graduate-level classes on optimization and probability, and has previously served as a teaching assistant for courses at MIT and Princeton. He is also associated with multiple centers at UPenn, including the PRiML Center for Machine Learning and the Warren Center for Networks and Data Science.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.