I am a PhD candidate at MIT’s Operations Research Center.
I am advised by Dimitris Bertsimas, and my research focuses on providing certifiably optimal solutions to problems which arise at the intersection of optimization and machine learning.
Before coming to MIT, I was a research assistant at the Electric Power Optimization Centre at the University of Auckland, where I worked with Golbon Zakeri and Andy Philpott on methods for incorporating intermittent renewable energy into wholesale electricity markets.
I obtained my undergraduate degree (B.E. (Hons)) in Engineering Science from the University of Auckland, New Zealand.
You can read my full CV here.
PhD in Operations Research, 2022
Massachusetts Institute of Technology
BE with First Class Honors in Engineering Science, 2017
University of Auckland
Instructor for an IAP course which aims to provide PhD students with an overview of state-of-the-art software tools used in optimization and statistics.
Teaching assistant for a course which aims to provide masters students with a unified overview of the main algorithms and areas of application in optimization.
Duties: Assisting students, leading recitations, writing and marking assignments and exams.
Student mentor for a 7-month capstone project completed by two Master of Business Analytics students, who applied machine learning techniques to predict fund inflows at the financial advisor level for a large investment management company.
(Mentees received an award for the best presentation in their graduating class.)
August 2019, ICCOPT, Berlin, Germany
October 2019, INFORMS, Seattle, USA
November 2018, INFORMS, Phoenix, USA
January 2019, MIT LIDS student conference, Cambridge, USA
July 2019, MIP Workshop (poster session), Cambridge, USA
July 2018, ISMP, Bordeaux, France
July 2017, EPOC Mini Workshop, Auckland, New Zealand