Students on the Market

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
Georgia Perakis
 

 

Kayhan
Behdin
PhD
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
Rahul Mazumder
 

 

Amine
Bennouna
PhD
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
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
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
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
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
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
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
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
Georgia Perakis
 

 

Yu
Ma
PhD
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
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
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
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
Alexandre Jacquillat
 

 

Sohil
Shah
PhD
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
Georgia Perakis
 

 

Fransisca
Susan
PhD
Negin Golrezaei
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
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
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
Robert Freund
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
Vivek Farias
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.