Colloquium group phone in 2024. From left to right: Professor Michael E. Mueller, Jamie Chiu, Dingyun Liu, Luther Yap, Marie-Lou Laprise, Charles Maher, Professor Tom Griffiths, and Tal Rubin. Not pictured: Joseph Lockwood and Nick McGreivy. Photo by Floe Fusin-Wischusen, PICSciE Joint PICSciE-CSML Graduate Certificate ColloquiumJoin us at the second joint Graduate Certificate Colloquium with the Princeton Institute for Computational Science & Engineering (PICSciE) and the Center for Statistics & Machine Learning (CSML) on Friday, April 18, 1:00–4:30 PM in 103 Bendheim House on 26 Prospect Avenue. The colloquium is an opportunity for graduate students completing certificates in Computational Science & Engineering and Statistics & Machine Learning to give a seminar on their dissertation research focusing on its computational as well as statistics and machine learning components. The presentations are designed to be accessible to the broader University community. Each research seminar will be approximately 20 minutes including time for questions from the audience.This event is open to the campus community. Feel free to share this announcement with students, researchers, and faculty in your department. Joint PICSciE and CSML Graduate Certificate ColloquiumFriday, April 18th, 1:00–4:30 PM 103 Bendheim House, 26 Prospect AvenueZoom: https://princeton.zoom.us/j/94290666987Organizing CommitteeMichael E. MuellerDirector, Graduate Certificate in Computational Science and EngineeringProfessor of Mechanical and Aerospace Engineering and Associate Chair, Department of Mechanical and Aerospace EngineeringMa. Florevel Fusin-WischusenInstitute Manager, PICSciE Jonathan CohenDirector, Graduate Certificate in Statistics & Machine LearningRobert Bendheim and Lynn Bendheim Thoman Professor in NeuroscienceProfessor of Psychology and NeuroscienceMiguel Gonzalez Academic Program ManagerCenter for Statistics and Machine LearningColloquium poster Related documents PICSciE Colloquium Poster 2023 Joint PICSciE-CSML Colloquium Poster 2024