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
Department of Computer Science, University of Virginia
Graduate Research Assistant
Aug 2023 - Present
- Mentor: Dr. Ferdinando Fioretto
- Focus Areas: Generative AI, Responsible AI, Differentiable Optimization
Lawrence Livermore National Laboratory
Data Science Institute
May 2024 - Aug 2024
- Mentors: Dr. Bhavya Kailkhura, Dr. Brian R. Bartoldson
- Collaborated on discrete diffusion models to enhance natural language generation with a focus on responsible generative AI.
Department of Computer Science, Syracuse University
Graduate Research Assistant
Jan 2023 - July 2023
- Mentor: Dr. Ferdinando Fioretto
- Focus Areas: Generative AI, Responsible AI, Differentiable Optimization
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
- Oral @ The 6th International Workshop on Multi-Agent Path Finding (AAAI 2025)
Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models - Oral @ AAAI-25 Bridge: AI+ORMS (AAAI 2025)
Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models - Spotlight @ AI for Accelerated Material Design Workshop (NeurIPS 2024)
Constrained Synthesis with Projected Diffusion Models - Best Paper @ UVA LLM Workshop (University of Virginia 2024)
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
Invited Talks
- Speculative Diffusion Decoding
Machine Intelligence Neural Design (MIND) group, Apple - Physics-Aware Diffusion Models for Micro-structure Design
AI for Accelerated Material Design Workshop, NeurIPS 2024