Aras Selvi

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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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 took researcher roles at The Alan Turing Institute and J.P. Morgan AI Research. My PhD dissertation was recognized as the best thesis in the UK by the OR Society, the best quantitative thesis at Imperial College London by the quant research firm G-Research, and an international finalist for the George B. Dantzig Dissertation Award. My research received awards and 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.