Aras Selvi
Imperial College London
Analytics & Operations, Imperial College Business School
Computational Optimization Group, Department of Computing
Contact: a[dot][last name]19@imperial.ac.uk
Address: ICBS E3.02, SW7 2AZ, London, UK
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I am on the 2024-2025 academic job market!
I am a doctoral candidate at Imperial College Business School where I am fortunate to be advised by Wolfram Wiesemann as a member of the Analytics & Operations group. I am also affiliated with the Computational Optimization Group and the Data Science Institute of Imperial College London. I have recently completed a PhD placement at The Alan Turing Institute as a part of the Enrichment Scheme and a PhD AI Research Associate Internship at J.P. Morgan.
My research interests are the theory of data-driven decision making under uncertainty and its applications in machine learning, privacy, and fairness. In my recent works, I have been working on designing optimal privacy mechanisms, developing efficient algorithms for robust machine learning, as well as approximating hard decision making problems via robust optimization.
News
Oct 2024
Our work on differential privacy received the 2nd prize for the George Nicholson Student Paper Competition!Aug 2024
Our work on adversarially robust logistic regression is a finalist for INFORMS DMS Best Student Paper Award, and accepted for presentation at the INFORMS Workshop on Data Science!Jul 2024
I received an ICML 2024 best reviewer award.