Adam Jozefiak

Adam Jozefiak

PhD candidate, Operations Research Center, MIT

I am a PhD candidate in the Operations Research Center at MIT, advised by Prof. Vivek F. Farias. My work is on efficient inference for generative models, reinforcement learning, and continual learning.

I work closely with industry research collaborators, including Anheuser-Busch InBev, KNAPP, Meta, and Takeda, on deploying these methods in practice. I am currently working with the Minerals Stewardship Consortium (Rio Tinto, Vale, and BHP) on generative models for orebody knowledge and reinforcement learning for mine planning.

In summer 2026 I was an applied scientist intern at Amazon, where I used reinforcement learning to train replenishment policies for its regionalized distribution and fulfillment network.

Before MIT I completed an M.Sc. in Computer Science and a B.Sc. in Computer Science and Mathematics at the University of British Columbia, where I was advised by Prof. Bruce Shepherd and worked on approximation algorithms for combinatorial optimization. I also worked with Prof. Jesse Perla at the Vancouver School of Economics on computational macroeconomics.

Email
jozefiak (at) mit (dot) edu

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Research

  1. The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler

    Md Sahil Akhtar, Aymane El Gadarri, Vivek F. Farias, Adam D. Jozefiak

    Preprint, 2026.

  2. OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal Stopping

    Mohammed Ehab, Aymane El Gadarri, Vivek F. Farias, Adam D. Jozefiak, Ciamac C. Moallemi

    Preprint, 2026.

  3. Self-Normalized Resets for Plasticity in Continual Learning

    Vivek F. Farias, Adam D. Jozefiak

    Preliminary version: ICLR 2025.

    Extended version: major revisions, Operations Research.

  4. Diversity Embeddings and the Hypergraph Sparsest Cut

    Adam D. Jozefiak, F. Bruce Shepherd

    Minor revision, Discrete Mathematics & Theoretical Computer Science.

  5. A Knapsack Intersection Hierarchy

    Adam D. Jozefiak, F. Bruce Shepherd, Noah Weninger

    Operations Research Letters, 51(1):72–78, 2023.

  6. Eigenvalues and Eigenvectors of Tau Matrices with Applications to Markov Processes and Economics

    Sven-Erik Ekström, Carlo Garoni, Adam D. Jozefiak, Jesse Perla

    Linear Algebra and its Applications, 627:41–71, 2021.

Teaching