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

Welcome to my page!

I am a penultimate-year doctoral candidate at Imperial College Business School where I am very fortunate to be advised by Wolfram Wiesemann as a member of the Models and Algorithms for Decision-Making under Uncertainty research 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 (London HQ).

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.

My work has been recognized by INFORMS Computing Society (winner of the student paper award), INFORMS Optimization Society (honorable mention for the student paper prize), ICBS (winner of the best analytics PhD student paper award), as well as the President of Imperial College London at the President's 2022 Address for external recognition. I have received generous grants from NeurIPS (scholar award), SIAM (travel award), G-Research (quantitative PhD grant), and the Sargent Centre (travel grant).

I aspire to combine methodological work with real-life applications. Click
Currently, I am collaborating with a major European nonprofit organization to optimize donation collections. Throughout my PhD I have had the opportunity to mentor various graduate student-led analytics projects: from improving operational efficiencies and commercial performance for a global energy company (in collaboration with KPMG UK | link) to deriving analytical tools to prevent global nuclear proliferation (in collaboration with Chatham House | link). I competed in the 2019 O.R. & Analytics Student Team Competition as a member of the Tilburg University team and our work on "General Motors: Redefining Vehicle Delivery with Autonomous Cars" has been one of the 6 finalists out of 292 (our optimization-based solution approach is summarized here).

News

  • Apr 2024I am selected to attend the 2024 Georgia Tech ISyE Junior Researcher Workshop with full funding.
Updated on 11 April 2024.