University College London
UCL School of Management, Operations & Technology

Contact: a.selvi@ucl.ac.uk

Address: Office 49.06, Level 49, One Canada Square

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Welcome to my page!

I am an Assistant Professor of Operations Research at UCL School of Management. I am interested in 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 for AI applications, developing efficient algorithms for robust machine learning, as well as developing data-driven approaches to fair resource allocation in high-stakes domains. My work has appeared in leading business journals, including Operations Research and M&SOM, as well as major AI conferences, including NeurIPS and ICML.

Before joining UCL, I was a postdoctoral research associate at the Department of Operations Research and Financial Engineering at Princeton University, mentored by Bartolomeo Stellato.

I received my PhD from Imperial Business School, where I was fortunate to be advised by Wolfram Wiesemann. I was a fellow at the Computational Optimization Group and the Data Science Institute of Imperial College London, and I completed research internships at The Alan Turing Institute and J.P. Morgan AI Research. My PhD dissertation was recognized as the best quantitative thesis at Imperial College London by G-Research and was selected as a finalist internationally for the George B. Dantzig Dissertation Award. My PhD research received finalist and first-place recognitions from the George Nicholson Student Paper Competition and the INFORMS Optimization, Computing, and Data Mining Societies.

If you are a motivated PhD researcher or applicant, or if you work in industry and are interested in applied research collaborations, please feel free to get in touch.

News

  • Jun '26I am joining the committee for the INFORMS Applied Probability Society Student Paper Competition as a judge!
  • May '26Professor Lily Xu (lead PI), Professor Burcu Balcik (co-PI), and I (co-PI) are awarded a generous $150,000 grant by Columbia Global. We will collaborate with the World Food Programme (United Nations) and Hayata Destek (Turkish NGO) to develop reliable data- and AI-driven decision making tools that prioritize relief operations immediately following a natural disaster. Anson Shyu will be the lead student on the project, and we will also actively collaborate with Professor Nabila El-Bassel, an expert in social work.
  • Apr '26Our new mixture mechanism for differential privacy is accepted at ICML 2026!