Amitis Shidani

Hello!

I am a PhD student in the Department of Statistics at the University of Oxford, supervised by Arnaud Doucet and George Deligiannidis.

I am broadly interested in Applied Statistics and Machine Learning, both in theory and application. My current research lies in the field of Sequential Decision-Making, particularly Bandit Learning. The general idea behind my research is to build bridges from optimization, robust statistics, computational learning theory, and game theory to bandit learning for better real-world decision-making.

Prior to joining Oxford, I completed my Bachelor’s degree in Electrical Engineering with a double major in Computer Science at Sharif University of Technology, where I worked with Babak Khalaj on Causal Inference and its application in Computational Genomics. Also, I was a lead data scientist at CafeBazaar, an Iranian Android app-store with more than 40 million users, for almost two years.