Demystifying ML PhD Applications to US Universities: A Virtual Panel Discussion
Nov 21, 2020. 12pm ET
This event, organized by Aditya Grover (Facebook) and Hima Lakkaraju (Harvard University) with help from Chirag Agarwal (Harvard University) and Jaydeep Borkar (Pune University), aims to shed light on critical information about ML PhD application process: (a) the breadth of available opportunities (e.g., ML PhD positions in non-CS departments), (b) how to choose what schools/departments to apply to, (c) what is a successful application. The panelists at this panel discussion/Q&A are faculty spanning various universities: Tatsu Hashimoto (Stanford University), Rada Mihalcea (University of Michigan), Devi Parikh (Georgia Tech / Facebook), Sameer Singh (UC Irvine), and James Zou (Stanford University) -- a diverse set of panelists from various departments/schools/areas of research. The recording is available at https://www.youtube.com/watch?v=z6TkkdlRWcU.
This event aligns with our mission to lower barriers to entry to the field.