Students on the Market

STUDENT PLACEMENT

Every year around 50% of ORC’s graduating doctoral students accept academic positions in leading universities around the world. The other 50% of graduating doctoral students and all of our Master’s and Master of Business Analytics students find jobs in leading companies around the world.

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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. We hope that you will take a moment to look through this document, because it gives a profile of a representative sample of the student population of the ORC, which seems to grow stronger each year.

Students on the Market

A listing of ORC students on the job market.

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 Research Interests: My primary research interest is in robust optimization with applications to machine learning and recommender systems.

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Research Interests: My research interests are in designing machine learning and optimization algorithms tailored for operations of digital marketplaces, including online advertising, recommender systems, revenue and inventory management. 

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Research Interests: My research centers on causal inference and sensitivity analysis methods, with a focus on improving reliability in healthcare applications. I am looking for an industry position where I can leverage my experience in causal inference, statistical modeling, and machine learning to tackle challenges in real-world data.

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Research Interests: My general research interests are in optimization and decision-making under uncertainty. I am looking for a position in industry where I can utilize this experience to make systems more efficient.

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Research Interests: I am interested in the intersection of robust optimization and electricity markets, especially as related to market operations, policy, and bidding incentives.

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Research Interests: My general research interests are in optimization and machine learning. I am looking for an academic or industry position where I can further my research on optimization and machine learning.

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Research Interests: Interested in addressing critical health policy decision making issues as well as optimization and machine learning theories.

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Research Interests: My research focuses on retail operations management, integrating principles from operations management, optimization, and machine learning to address the complexities of the retail sector. I am particularly interested in studying how the retailer’s optimal policies are impacted by different factors such as complementarity and substitution cross-item effects, and manager and customer behavior.

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Research Interests: My general research interests are in optimization and machine learning: using optimization to learn better and make better decisions for optimal control problems, for instance using decomposition methods for large scale problems to better train classifiers, stochastic optimization. Interested in investigating how mathematical programming could enhance reinforcement learning, learning constraints and objective function.

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Research Interests: My research lies in the intersection of deep learning and discrete optimization with applications in neural network optimization for decision making, causal ML, counterfactual explanations, hierarchical time series, LLMs, and healthcare.

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Research Interests: My research interests are primarily in (continuous) optimization, with twin interests in theoretical foundations and computational practice. My overarching aspiration is to extend the capability of modern optimization methods to efficiently solve the ever-increasing size of problems that arise in operations research, data science, and machine learning/AI. I am looking for an academic position where I can further do research in these fields and teach undergraduate and graduate students.

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Research Interests: My research aims to inform operations-focused public and regulatory policy design through advanced analytics. I am particularly excited about socially impactful domains including agriculture, public health and e-governance. Depending on the context, my work leverages different methodologies in machine learning, statistical modeling, supply chain management, risk management, and econometrics.

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Research Interests: My research studies how modern service platforms, via algorithmic and market designs, can incentivize agents’ flexibility to enhance operational efficiency. To tackle the challenges in flexibility designs, I apply tools from game theory and stochastic decision-making to transportation, e-commerce, and other platform applications. I am seeking an academic position where I can advance this research and teach graduate/undergraduate students.

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Research Interests: My research interests focus on online optimization, with particular applications in Large Language Model (LLM) inference and classical revenue management. I am looking for an academic position where I can continue my research in these fields, and where I can teach undergraduate and graduate students.