Education
University of Virginia
Ph.D. in Computer Science
Aug 2023 - Present
Charlottesville, Virginia
Syracuse University
Ph.D. Track Master of Science
Aug 2022 - July 2023
Syracuse, New York
Gordon College
B.S. in Computer Science
Aug 2019 - May 2022
Wenham, Massachusetts
Experience
NASA Langley Research Center
AI Research Associate
Oct 2025 - Present
- Mentors: Dr. James Warner
- Pioneering constrained generative modeling for wind velocity modeling, integrating physics-informed constraints into diffusion models to improve reliability and scalability of AI for real-world deployment.
Department of Computer Science, University of Virginia
Graduate Research Assistant
Aug 2023 - Present
- Mentor: Dr. Ferdinando Fioretto
- Researching generative AI and optimization, with emphasis on scalable diffusion methods for physics-aware models. This work led to top-tier publications (NeurIPS 2024, ICML 2025, NeurIPS 2025 Spotlight).
Lawrence Livermore National Laboratory
Graduate Researcher
May 2024 - Aug 2024
- Mentors: Dr. Bhavya Kailkhura, Dr. Brian R. Bartoldson
- Designed discrete diffusion approaches to improve controllability and accelerate natural language generation. Collaboration with national lab scientists resulted in publications at NAACL 2025 (Oral) and NeurIPS 2025.
Department of Computer Science, Syracuse University
Graduate Research Assistant
Jan 2023 - July 2023
- Mentor: Dr. Ferdinando Fioretto
- Initiated research directions in differentiable optimization, leading to the work established while at UVA.
Solü Technology Partners
Software Engineer Co-op
Aug 2021 - May 2022
- Developed a web-based survey delivery application as part of a SCRUM team.
- Designed and implemented a comprehensive API test suite in Python.
- Tools used: Angular, HTML5, Kotlin, MongoDB, AWS.
BorgWarner
Software Developer
Nov 2020 - Jan 2021
- Created a product tracking GUI for an automotive manufacturing plant.
- Tools used: ASP.NET Core, SQL Server, JavaScript.
Selected Honors and Achievements
- DARPA Disruptive Idea Award (NeuS 2025)
Neuro-symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation - Best Student Paper @ AI4D3 Workshop (NeurIPS 2025)
Constrained Molecular Generation with Discrete Diffusion for Drug Discovery - Best Paper @ UVA LLM Workshop (University of Virginia 2024)
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion