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.

INFORMS Annual Meeting 2024 Talks

Competition Finals

"Differential privacy via distributionally robust optimization"

  • Session: SD68 Nicholson Student Paper Competition I
  • Time: Sunday, October 20, 2:15 PM - 3:30 PM
  • Location: Regency 606

"Distributionally and adversarially robust logistic regression via intersecting Wasserstein balls"

  • Session: SB73 Data Mining Best Paper Competition (Student Track)
  • Time: Sunday, October 20, 10:45 AM - 12:00 PM
  • Location: Regency 704
Invited Session

"It's all in the mix: Wasserstein machine learning with mixed features"

  • Session: SE33 Distributional Robustness and Learning
  • Time: Sunday, October 20, 4:00 PM - 5:15 PM
  • Location: Summit 424
Miscellaneous

"Distributionally and adversarially robust logistic regression via intersecting Wasserstein balls"

  • Session: INFORMS Workshop on Data Science
  • Time: Saturday, October 19, 3:00 PM - 4:00 PM
  • Location: Summit 435

"Research summary: safeguarded data-driven decision making"

  • Session: INFORMS Inaugural Job Talks
  • Time: Monday, October 21, 4:20 PM - 4:40 PM
  • Location: Summit Flex B, Level 2

News

  • Aug 2024Our work on differential privacy is a finalist 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!
  • Jul 2024I received an ICML 2024 best reviewer award.