msas3.md

title	date	firstname	lastname	email	year_arrived	year_left	still_around	status	website	google_scholar	github	twitter	linkedin	labs	draft
Shoaib Ahmed Siddiqui	2022-06-22 13:52:29 +0100	Shoaib Ahmed	Siddiqui	[email protected]	2021		true	student	http://shoaibahmed.github.io/	https://scholar.google.de/citations?user=9SOO4z0AAAAJ&hl=en	shoaibahmed	ShoaibASiddiqui		cbl	false

Shoaib is a first-year Ph.D. student at the University of Cambridge supervised by David Krueger. Prior to this, he did his MS from Germany (TU Kaiserslautern) followed by an internship at NVIDIA research. He is broadly interested in the empirical theory of deep learning with an aim to better understand how deep learning models work. In regards to AI alignment, he works on the myopic problem of robustness. He is also particularly interested in understanding and improving self-supervised learning, which is the main ingredient for current large-scale systems.