Steve Holtzen
(he/him/his)
Assistant Professor
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Research interests
- Artificial intelligence
- Programming languages
- Formal methods
Education
- PhD in Computer Science, UCLA
- MS in Computer Science, UCLA
- BS in Computer Science, UCLA
Biography
Steve Holtzen is an assistant professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston.
Holtzen's research — which lies at the intersection of artificial intelligence, machine learning, and programming languages — focuses on systems of probabilistic modeling and reasoning. He designs systems that make probabilistic modeling fast, accessible, and useful for solving everyday reasoning tasks. In doing so, Holtzen tackles automated reasoning, probabilistic verification, probabilistic inference, tractable probabilistic modeling, and probabilistic programming languages. He teaches courses in artificial intelligence, programming languages, and machine learning, and is affiliated with the Programming Research Laboratory.
Before joining Khoury College in 2021, Holtzen earned his doctorate in computer science from UCLA, where he worked as a research assistant. At the same time, he served on the technical staff in the cyber data analytics department at Sandia National Laboratories.
Holtzen was named Outstanding Graduating PhD Student by the UCLA Computer Science Department and won the ACM SIGPLAN Distinguished Paper Award at OOPSLA 2020. He has published at UAI, ICML, CAV, and ASPLOS.
Recent publications
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[TEST-FEB13]-Bit Blasting Probabilistic Programs
Citation: Poorva Garg, Steven Holtzen, Guy Van den Broeck, Todd D. Millstein. (2024). Bit Blasting Probabilistic Programs Proc. ACM Program. Lang., 8, 865-888. https://doi.org/10.1145/3656412 -
[TEST-FEB13]-A Nominal Approach to Probabilistic Separation Logic
Citation: John M. Li, Jon Aytac, Philip Johnson-Freyd, Amal Ahmed , Steven Holtzen. (2024). A Nominal Approach to Probabilistic Separation Logic LICS, 55:1-55:14. https://doi.org/10.1145/3661814.3662135 -
Probabilistic Logic Programming Semantics For Procedural Content Generation
Citation: Abdelrahman Madkour, Chris Martens , Steven Holtzen, Casper Harteveld, Stacy Marsella. (2023). Probabilistic Logic Programming Semantics For Procedural Content Generation AIIDE, 295-305. https://doi.org/10.1609/aiide.v19i1.27525