Teaching

Courses | PhD Theses | Graduation Theses | Student Research

Courses

• CS2580: Foundations of Prescriptive Analytics, Brown, 2016 - present
• Student evaluations: 2016/17, 2017/18, 2018/2019
• Teaching in Times of Disruption and Resilient Course Design, Anchor Program, Brown, 2020
• PSPO - Professional Scrum Product Owner Certificate, Scrum.org, Oracle, 2015
• Coursera: Discrete Optimization, Prof. Pascal Van Hentenryck, Community Assistant, Coursera, 2013, 2014
• CS 224: Interactive Computer Graphics, Prof. John Hughes, Head TA, Brown, 2010
• CS 149: Intro. to Combinatorial Optimization, Prof. Meinolf Sellmann, Head TA, Brown, 2008, 2009
• Teaching Certificate - The Harriet W. Sheridan Center for Learning, Brown, 2008

PhD Theses

• Kostis Michailidis, Ph.D. KU Leuven, Belgium, 2027 (expected)
  • Doctoral Thesis: From Natural Language to Constraint Models
• Leon Lan, Ph.D. Vrije Universiteit, Netherlands, 2026 (expected)
  • Doctoral Thesis: Routing and Scheduling: Software, Models, and Algorithms
• Zohair Shafi, Ph.D. Northeastern University, USA, 2026
  • Doctoral Thesis: Trustworthy Machine Learning
• Florian Regin, Ph.D., Université Cote d’Azur, France, 2024
  • Doctoral Thesis: Generative Constraint Programming
• Zohreh Raziei, Ph.D., Northeastern University, USA, 2024
  • Doctoral Thesis: AI for Decision Making
• Enrique Areyan Viqueira, Ph.D., Brown University, USA, 2021
  • Doctoral Thesis: Learning Equilibria of Simulation-Based Games

Graduation Theses

• Akash Singirikonda, BSc., Brown University, 2025
  • Honors Thesis: Text2Zinc: A Cross-Domain Dataset for LLM Modeling Co-Pilots
• Shreyas Misra, BSc., Brown University, 2024
  • Honors Thesis: Using Reinforcement Learning for Variable Selection in the Branch and Bound Algorithm for Solving Mixed Integer Linear Programs
• Vignesh Pandiarajan and Cristina Hu, BSc., Brown University, 2024
  • Capstone Project: Explorateur: State-Space Search available on Explorateur
• Paul Biberstein, BSc., Brown University, 2023
  • Capstone Project: bandit-based local search, added to ALNS
• Ansel Vahle, Valentin Perez, Sean Segal, BSc., Brown University 2018
  • Capstone Project: Boolean Satisfiability on Online SAT Solving

Student Research

I enjoy collaboration with students many of which lead to research publications:

• Koyena Pal, Northeastern University, 2026
  • Transfer Learning from Foundational Optimization Embeddings to Unsupervised SAT Representations, ArXiv’26
• Yifei Shi, Northeastern University, 206
• Junyang Cai, University of Southern California, 2024/2025
  • Balans: Bandit-based Adaptive Large-Neighborhood Search, IJCAI’25
  • Gala: Global LLM Agents for Text-to-Model Translation, NeurIPS’25
• Zohair Shafi, Northeastern University, 2025
  • Forge: Foundational Optimization Embeddings, ArXiv’25, NeurIPS’25
• Alican Yilmaz, Northeastern University, 2025
  • ParBalans: Parallel Balans, ArXiv’25
• Weijia Jing, Northeastern University, 2024
• Aishwarya Kumar, Northeastern University, 2024
• Akshay Reddy Nagireddy, Northeastern University, 2023
  • CD/CI pipeline using GitHub actions
• Zohreh Raziei, Northeastern University, 2023
  • Text-based feature selection
• Ratan Sai Kokku, Northeastern University, 2023
• Irmak Bukey, BSc, Pomona College, 2021
  • Non-linear Contextual Multi-armed Bandits (Elmachtoub et. al.) added to MABWiser
• Shamay Samuel, BSc, Brown University, 2021
  • Integrated Vehicle Routing and Monte-Carlo Scheduler for Home Service Assignment, MOPTA Challenge
  • Finalist at the AIMMS-MOPTA Optimization Modeling Competition
• Mohsen Emadikhiav, PhD, University of Connecticut, 2020 (Asst. Prof @ Florida Atlantic University)
  • Constrained Logistic Regression to Avoid Undesirable Predictions, CP 2019
• Rigel Galgana, Shamay Samuel, BSc, Brown University, 2019
  • Independent research on Neural Constraint Solving
• Priya Singh, MSc., Northeastern University, 2019
• Pablo Colunga, MSc., Northeastern University, 2019
  • Seq2Pat: Sequence-to-Pattern Generation, INFORMS 2020
• Emily Strong, MSc, Northeastern University, 2018
  • MABWiser: Contextual Multi-Armed Bandits, ICTAI 2019 [code]
• Kevin Leo, MSc, NICTA, Australia & Giovanni Di Liberto, MSc, University of Padua, Italy (Post-doc @ École Normale Supérieure)
  • DASH: Dynamic Approach for Switching Heuristics, EJOR 2016
• André A. Ciré, PhD, CMU, 2014 (Asst. Prof @ University of Toronto)
  • Parallel Restarted Search, AAAI 2014
• Barry Hurley, BSc, University College Cork, Ireland
  • Transformation-based Feature Computation for Algorithm Portfolios, CoRR 2014
• Peter Backeman, MSc, Uppsala University, 2013 (PhD student @ Uppsala)
  • Propagating the nvector constraint: Haplotype inference using constraint programming
• Siddhartha Jain, BSc, Brown University, 2010 (Applied Scientist @ Amazon AI)
  • Upper Bounds on the Number of Solutions of Binary Integer Programs, CPAIOR 2010