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.

	Kathryn Angevine
	SM katang@mit.edu Georgia Perakis

	Kayhan Behdin
	PhD behdink@mit.edu Rahul Mazumder website
Looking for an internship for the Summer of 2023 Research Interests: My general research interests are in statistics, machine learning and optimization.

	Riade Benbaki
	SM rbenbaki@mit.edu Rahul Mazumder

	Amine Bennouna
	PhD amineben@mit.edu Bart Van Parys website
Looking for an internship for the Summer of 2023 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
	PhD leobix@mit.edu Dimitris Bertsimas website
Research Interests: My research bridges optimization with machine learning and artificial intelligence, emphasizing multimodal frameworks and data-driven decision tools. I aim to solve high-impact healthcare and sustainability challenges with robust and explainable models utilizing state-of-the-art predictive and prescriptive analytics. I have developed and deployed machine learning and deep learning models to address healthcare operations, air pollution management, hurricane forecasting, and ecosystem conservation challenges. I am in the 2022-23 academic job market.

	Wenyu Chen
	PhD wenyu@mit.edu Rahul Mazumder website
Research Interests: My research interests are in developing efficient computational methods for solving large-scale optimization problems in the fields of statistics, machine learning and operations research, with applications in finance, such as nonparametric estimation, sparse learning, covariance matrix estimation, event modeling, time series forecasting and portfolio optimization, etc. These problems involve either large-scale convex optimization or discrete optimization that is hard to scale using existing solvers.

	Kayla Cummings
	PhD kaylac@mit.edu Alexandre Jacquillat, Vikrant Vaze website
Research Interests: In my graduate work, I develop decomposition methods for large-scale optimization models toward integrated design of urban transportation systems. In particular, I like to think about how elements of flexibility can improve traditional fixed-route public transit systems. My current projects include paratransit workforce scheduling, microtransit line-setting, and multimodal pricing alliance design between transit agencies and ride-hailing operators.

	Vassilis Digalakis
	PhD vvdig@mit.edu Dimitris Bertsimas website
Research Interests: My research develops analytics, optimization (primarily mixed-integer and robust), and machine learning techniques for problems of ever-increasing size and complexity. In particular, I build methodologies that handle data science problems with characteristics such as variability in the data distribution and large volume of data or decisions, and collaborate with industry partners in the sustainability/decarbonization and healthcare operations spaces, seeking to reap the benefits of large-scale analytics in these settings I am looking for tenure-track academic positions starting in Summer/Fall 2023.

	Samuel Gilmour
	PhD sgilmour@mit.edu Patrick Jaillet, Nikos Trichakis website
Research Interests: My research focuses on developing models for the problems faced by policymakers, and optimizing these models to help them make better decisions.

	Xiao-Yue Gong
	PhD xygong@mit.edu David Simchi-Levi website
Research Interests: My research focuses on data-driven decision making in supply chain and business operations, with an emphasis on online decision making where past information is limited and exploration is therefore necessary. I am looking for an academic position where I can further my research and teaching on data-driven methods for business operations and supply chain.

	Jason Cheuk Nam Liang
	PhD jcnliang@mit.edu Negin Golrezaei, Patrick Jaillet website
Research Interests: My research interests lie at the intersection of incentive-aware learning, mechanism design, and game theory, with applications in pricing, revenue management, and online advertisement markets.

	Gianpaolo Luciano Rivera
	SM pluciano@mit.edu Georgia Perakis

	Yu Ma
	PhD midsumer@mit.edu Dimitris Bertsimas website
Looking for an internship for the Summer of 2023 Research Interests: My general research interests are in machine learning in healthcare and optimization. I am looking for a summer internship position where I can further my research on the use of machine learning skills in fields in technology, finance and healthcare settings.

	Liangyuan Na
	PhD lyna@mit.edu Dimitris Bertsimas
Research Interests: My research lies at the intersection of machine learning and optimization, with applications to healthcare operations and data analytics. On the theoretical side, I analyze and develop methodologies for optimization under uncertainty, machine learning, and reinforcement learning. On the practical side, I have collaborated with various industry partners, including a large hospital network where I developed and deployed a system of large-scale predictive and optimization models in production.

	Martin Rame
	SM mrame@mit.edu Alexandre Jacquillat
Research Interests: My research focuses on optimization and vehicle routing. I am looking for non-academic position in a technology company that uses both optimization and data science to offer innovative solutions to tackle concrete issues. This could be either in a start-up developing a new product are in a big tech company.

	Rebecca Reubenstein
	SM rreubens@mit.edu Jonas Jonasson
Research Interests: My primary interests are in optimization, logistics, and healthcare systems.  I am looking for non-academic positions starting Summer 2023 where I can apply systems level thinking to problems that have a significant social impact.

	Arnaud Robin
	SM arobin@mit.edu Alexandre Jacquillat

	Sohil Shah
	PhD sshah95@mit.edu Saurabh Amin, Patrick Jaillet website
Research Interests: My general research interests are in online learning, information design and networks.  I am looking for an industrial position where I can continue to work on interesting research problems in these areas with relevant applications.

	Benjamin Siegel
	SM mitiggy@mit.edu Georgia Perakis

	Fransisca Susan
	PhD fsusan@mit.edu Negin Golrezaei website
Research Interests: My research interests lie in the areas of machine learning, combinatorial algorithms, approximation algorithms, and mechanism design with applications to revenue management and online markets.

	Zikai Xiong
	PhD jzikai@mit.edu Robert Freund website
Looking for an internship for the Summer of 2023 Research Interests: My general research interests are in optimization, especially first-order methods and linear programming. I am looking for an internship where I can make practical impacts by using my research experience in operations research and optimization.

	Jiayu Zhao
	PhD kamessi@mit.edu Daniel Freund website
Looking for an internship for the Summer of 2023 Research Interests: My research interests lie at the intersection of online algorithms, stochastic decision-making, and game theory, with applications in revenue management and market design. I am looking for an industry summer internship where I can further my research on dynamic decision making in modern marketplaces.

	Renbo Zhao
	PhD renboz@mit.edu Robert Freund website
Research Interests: My research interests include theory and computational practice for large-scale optimization algorithms, with applications in machine learning, data science and game theory. I am looking for a faculty job related to my research area.

	Andrew Zheng
	PhD atz@mit.edu Vivek Farias website
Research Interests: I am interested in sample-efficient reinforcement learning and experimentation. Applications include online platforms and healthcare, where these problems are challenging and high-impact. I am looking for an academic position this year.