Oscar Hasburn-Babich

Ph.D. Student - Machine Learning


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Education

  • Ph.D. Machine Learning (Expected 2027), Georgia Tech
  • M.S. Operations Research (Expected 2027), Georgia Tech
  • M.S. Comp Sci - AI & ML (Expected 2027), Georgia Tech
  • M.S. Comp Sci (2004), University of Denver
  • B.S. E.E. & M.E. (1995), UCA | ICAI Madrid

About

Oscar develops game-theoretic, optimization, and statistical learning frameworks for multi-actor coordination under institutional constraints, with applications to Physical Internet and AI systems operating across sovereign jurisdictions. His research program studies institutional structure —sovereignty, regulatory heterogeneity, and governance—, equilibrium, and welfare behavior in finite and infinite-horizon stochastic games.

Current applied results address foundational questions in Physical Internet adoption: why directly competing firms would relinquish proprietary infrastructure to join open networks, and when sovereign borders weaken or strengthen network welfare.

Prior to Georgia Tech, Oscar spent over 22 years in Fortune 100 technology, supply chain, and healthcare, in roles including CEO, CTO, and Principal Scientist, leading work involving optimization, statistical modeling, and applied AI/ML from early career with Toyota —expertise that directly informs his research.

Oscar is advised by Benoit Montreuil and Craig Tovey, and receives mentorship guidance in Optimization Theory from Arkadi Nemirovski, Stochastic Programming from Alexander Shapiro. He collaborates with Dmitrii Ostrovskii.


Research Interests

Applied

  • Physical Internet coordination design, large-scale multi-actor systems under regulatory heterogeneity.

Theoretical

  • Sovereign statistical learning, game theory, optimization.

Relevant Publications

Accepted:

  • Physical Internet Across Sovereign Borders: A formalized design framework and the Price of π-Sovereignty (IPIC 2026, with C. Tovey and B. Montreuil)

In preparation for journal submission:

  • Statistical learning under institutional constraints in stochastic games
  • Equilibrium implementability across intervention classes: a geometric theory
  • Welfare bounds for multi-layer regulatory design (with C. Tovey and B. Montreuil)
  • Physical Internet coordination under jurisdictional sovereignty (with C. Tovey and B. Montreuil)

Leisure

Oscar composes instrumental New Flamenco pieces and arrangements for one and two guitars, which he delivers solo in live multi-track looping act, and duo with Jose Valle Fajardo "Chuscales".

He is descendant of Agustín Barrios "Mangoré" through José Cándido Morales, master keeper of Barrios' legacy.


In Appreciation