I am a Ph.D. candidate at the University of Florida, working with Dr. Anthony Botelho at VIABLE Lab. My research investigates how people learn, collaborate, and interact with AI systems. I draw on Learning Analytics, Educational Data Mining, NLP/LLMs, and HCI to analyze complex behavioral data and to design AI-supported tools and interventions. A distinguishing aspect of my approach is that I often design and build the tools and systems I study, which lets me iterate between empirical findings and design in a tighter loop than either research or engineering alone would allow.
My current work centers on human-centered AI systems for assessment, feedback, safety, collaborative problem solving, and AI literacy, supported by the National Science Foundation, Gates Foundation, and OpenAI. I care about systems that are technically reliable, pedagogically grounded, and transparent enough for learners, researchers, educators, and end users to explore and interrogate.
I hold Master's degrees from Johns Hopkins University (Learning Sciences & Technologies) and the University of Southampton, UK (Education), with foundational training from Capital Normal University in Elementary Education and Linguistics. I also maintain an active machine learning practice on Kaggle, where I hold Competitions Master status (global Top 1%) with multiple top-ranked finishes.
Research Interests
no.1
Understanding Learning
Learning Analytics, Educational Data Mining, Multimodal Data Analysis, Causal Inference, Computer-Supported Collaborative Learning
no.2
Building AI Systems for Education
Natural Language Processing, Large Language Models, Human-Computer Interaction, Learning Engineering Tools, Instructional Design Platforms, Educational Feedback Systems
no.3
Ensuring Responsible AI in Education
AI Safety, Trustworthy AI, Fairness, Explainability, AI Literacy
