Education
- Aug. 2023 - Present
PhD in ILCC: Language Processing, Speech Technology, Information Retrieval, Cognition
University of Edinburgh, Edinburgh, UK- Supervised by Mirella Lapata and Esmeralda S. Whitammer
- Expected graduation December 2026
- Aug. 2020 - Dec. 2022
Master of Science in Computer Science
Georgia Institute of Technology, Atlanta, GA- Concentration in Machine Learning
- Aug. 2018 - Dec. 2020
Bachelor of Science in Computer Science
Georgia Institute of Technology, Atlanta, GA- Minor in Linguistics
Research Interests
- Efficient reinforcement learning for long-horizon, unverifiable tasks like long-story generation
- Credit assignment and reward design for complex agent orchestration
Research Experience
- Aug. 2023 - Present
PhD Candidate
University of Edinburgh, Edinburgh, UK- Working on efficient and creative reinforcement learning for long-narrative tasks, code, and deep research
- Designed a reinforcement learning paradigm for book-chapter generation, published at COLM 2025
- Dec. 2025 - Present
Visiting Researcher
RL for Agentic Reasoning (RLAR), ServiceNow, Atlanta, GA- Exploring privacy-augmented deep-research agents
- Jan. 2020 - May 2023
Researcher
Social and Language Technologies Group, Georgia Institute of Technology, Atlanta, GA- Investigated the processes and distribution of radicalization on insular social media
- Analyzed the prevalence of political frames using a dependency-parsing system
- Aug. 2021 - Sep. 2022
AI Resident
ParlAI Team, Meta AI, New York City, NY- Improved LLM generalization in predicting text-game world-state changes
- Jan. 2021 - May 2021
Machine Learning Graduate Research Assistant
Electro-Optical Systems Laboratory, Georgia Tech Research Institute, Atlanta, GA- Expanded a genetic programming framework's capabilities for images
Work Experience
- Dec. 2024 - May 2025
Teaching Assistant
Foundations of NLP, University of Edinburgh, Edinburgh, UK- Designed course materials for an undergraduate NLP course
- Created coding and theory assignments for sentiment analysis and translation
- Jun. 2021 - Aug. 2021
Machine Learning Engineer Intern
Trust & Safety Team, TikTok, Mountain View, CA- Designed mixture-of-experts neural architectures to improve region-specific auto-moderation performance
- Researched multi-task learning loss functions and architectures
- Deployed models to production and measured performance improvements over time
Publications
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- [2026]Long-Context Reasoning Through Proxy-Based Chain-of-Thought Tuning
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