University of Virginia

Ph.D. in Computer Science

Aug. 2023–Present

Charlottesville, Virginia

Syracuse University

Ph.D. Track Master of Science

Aug. 2022–Jul. 2023

Syracuse, New York

Gordon College

B.S. in Computer Science

Aug. 2019–May 2022

Wenham, Massachusetts

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 has led to publications at major AI venues (NeurIPS 2024, ICML 2025, NeurIPS 2025 Spotlight, ICLR 2026).

Cerebras

Research Scientist Intern (Core ML)

Jun. 2026–Aug. 2026

• Mentors: Nolan Dey, Joel Hestness
• Researching and developing next-generation methods for accelerating LLM inference with the support of Cerebras' state-of-the-art hardware and inference stack.

NASA Langley Research Center

AI Research Associate

Oct. 2025–Jan. 2026

• Mentor: 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.

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.

Syracuse University

Graduate Research Assistant

Jan. 2023–Jul. 2023

• Mentor: Dr. Ferdinando Fioretto
• Initiated research directions in differentiable optimization, leading to the work established while at UVA.