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Amitis Shidani
DPhil in Statistics student
About Me
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 apply ideas from optimization, robust statistics, fairness, and causal inference 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.
Research Interests
- Sequential Decision-Making
- Game Theory
- Optimization
- Robust Statistics
- Conformal Prediction
Contact Details
Email: amitis.shidani@stats.ox.ac.uk
Office: G.01
Pronouns: She/Her