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

  • Dec 2024Our work on differential privacy is now under minor revision at Operations Research.
  • Oct 2024Our work on differential privacy received the 2nd prize for the George Nicholson Student Paper Competition!
  • Aug 2024Our 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!