ICCOPT2025USC

I am an Assistant Professor in the Analytics and Operations Group at Imperial College Business School (ICBS) since July 2023, affiliated with the Imperial-X initiative on interdisciplinary AI/ML.

My research focuses on optimization, machine learning, statistics, and their application in business analytics. I am particularly interested in broadening the scope of optimization to address practical problems that current methods cannot solve to optimality. For instance, I have proposed a generalization of integer optimization that tackles rank constraints, which arise in product recommendation applications. Recently, I have worked on formulating the discovery phase of the scientific method as a convex optimization problem. I am also interested in leveraging optimization to support the transition to a low-carbon economy. For instance, we recently collaborated with OCP to develop a framework that guides a two billion USD investment in solar panels and batteries.

I have received an IBM Herman Goldstine Postdoctoral Fellowship (2022-23), the Nicholson Prize (2020), the INFORMS DMDA Workshop Best Paper Award (2024), the INFORMS Computing Society Student Paper Award (2019), and the INFORMS Health Applications Society Pierskalla Award (2020). I have also been a finalist in the 2023 M&SOM practice-based research competition.

Before joining ICBS, I spent a year as a postdoctoral fellow at IBM Research (Cambridge, MA). I received my PhD in Operations Research from MIT in 2022, advised by Dimitris Bertsimas. Before joining MIT, I received a BE (1st class Hons) in Engineering Science from the University of Auckland.