Graduate Student Directory

The Graduate Student Directory is a booklet of ORC student resumes that is compiled each year and is circulated to universities and private companies. The primary focus of this effort is on permanent job placement; however, students have also had success in finding summer jobs through this vehicle. Employers who are interested in hiring a student can contact the student directly.

The latest Graduate Student Directory can be found here.

Students on the Market

A listing of ORC students on the job market.

	Amine Bennouna
	PhD amineben@mit.edu Bart Van Parys website
Research Interests: My research interest lies in the design of novel algorithms for decision making under uncertainty, motivated by precise theoretical understand of such problems. I worked in particular in designing novel Optimization and Machine Learning methods based on robust optimization and regularization, introducing a novel more efficient Reinforcement Learning and dynamic optimization framework and finally designing more powerful neural network architectures.

	Léonard Boussioux
	SM leobix@mit.edu Dimitris Bertsimas website
Research Interests: My primary research interests lie at Optimization and Machine Learning intersection, with applications to Computer Vision, Time Series analysis, Chaos and Weather prediction, and Healthcare. I am looking for a Research Summer internship in 2021 where I could apply and develop further my Machine Learning experience.​

	Christopher Coey
	PhD coey@mit.edu Juan Pablo Vielma
Research Interests: Interested in linear/integer/combinatorial programming, especially large-scale methods and approximation algorithms; robust optimization, multistage models and approximations, MDPs, data-driven methods, and theory and applications in network flows. They are also interested in large-scale network algorithms, network design problems, logistics, airlines, and supply chains.

	Ryan Cory-Wright
	PhD ryancw@mit.edu Dimitris Bertsimas website
Research Interests: My research interests lie at the intersection of optimization, machine learning and statistics. My work follows two threads. First, developing interpretable algorithms with optimality guarantees to address fundamental problems in optimization, machine learning and statistics efficiently. Second, integrating renewables within energy markets to combat climate change. I am looking for a tenure-track academic position starting in fall 2022.

	Emma Gibson
	PhD emgibson@mit.edu Jonas Jonasson
Research Interests: My research interests are optimization, simulation, and machine learning, and I enjoy working on applications in healthcare, logistics, and transportation. I’m particularly interested in practice-based research that contributes to global health and development. I am looking for a position in industry, academia, or the non-profit sector.

	Xiao-Yue Gong
	PhD xygong@mit.edu David Simchi-Levi website
Research Interests: My research interests lie broadly in online algorithms, reinforcement learning, data-driven revenue management and supply chain optimization. My research develops novel models of practical applications for businesses’ strategic opportunities, and designs machine learning/reinforcement learning algorithms that cater to the special structures of OR/OM problems. I am looking for a tenure-track academic position starting in summer/fall 2022.

	Ken Groszman
	SM groszman@mit.edu Georgia Perakis
Research Interests: As a former management consultant pursuing a dual degree in operations research and management, my interests lie in the intersection between prescriptive analytics and business strategy. I am looking for a position leading (and/or starting) a company's decision science team or program, or as a product manager for prescriptive analytics products.

	Michael Lingzhi Li
	PhD mlli@mit.edu Dimitris Bertsimas website
Research Interests: My general research interests are in scalable optimization and its real-world applications into various industries (insurance, healthcare, logistics).  I am looking for either an academic position where I can further my research on scalable machine learning algorithms, apply it to real-world problems, and teach undergraduate/MBA students, or a technical consulting position in which I can utilize my skills in optimization and machine learning to generate real-world impact across industries.

	Matthew Sobiesk
	PhD msobiesk@mit.edu Dimitris Bertsimas, Rahul Mazumder
Research Interests: My research background includes investigating machine learning through an optimization lens and applying machine learning methods and data analytics to healthcare problems. I am seeking an industry position on a collaborative team applying operations research and data science techniques in the healthcare domain.

	Ioannis Spantidakis
	PhD yspant@mit.edu Georgia Perakis website
Research Interests: My primary research interests lie at the intersection of Optimization and Machine Learning. Over the course of my PhD I have collaborated closely with several companies/organizations (e.g., IBM, Zara, Myntra, MIT Quest and the CDC) developing novel approaches and algorithms to enable data-driven decision making in many applications such as supply chains and healthcare. I am currently looking for an industry position that will allow me to utilize my skills and have an impact in challenging real-world problems.

	Holly Wiberg
	PhD hwiberg@mit.edu Dimitris Bertsimas website
Research Interests: My research aims to leverage optimization and machine learning to improve healthcare, ranging from clinical decision making to operations strategy. This has entailed methodological work to address shortcoming of existing approaches, as well as extensive clinical collaboration to tackle concrete healthcare problems. I am seeking a tenure-track faculty position starting in Fall 2022 in which I can continue advancing healthcare analytics through research and education.