- Attended the inaugural Association for Health Learning and Inference (AHLI) Health AI Summer Camp at the University of Washington, Seattle — an inspiring week of learning, discussions, and collaboration focused on developing AI systems that address real-world health challenges
- Presented a research proposal on multimodal human-in-the-loop AI for behavioral assessment in autism and ADHD, and received valuable feedback from mentors and fellow participants
- Presented our work, "Evaluating General Purpose LLMs as Autism-Related Behavioral Feature Extractors," at Frontiers in Computational Precision Health (FiCPH 2026) at UCSF Mission Bay
- This work explored how well general-purpose LLMs can extract autism-relevant behavioral signals from videos in the wild, examining AI's capabilities, limitations, and reliability in sensitive domains like neurodevelopmental conditions
- Successfully defended my PhD dissertation, "Feasibility and Utility of AI-Triggered Prompts for Efficiently Capturing When and Why People Experience Stress in Natural Environments"
- The research explores how AI, wearables, and personal informatics can better understand and support people's stress in everyday life
- Conducted at the MD2K / mDOT Center in the Department of Computer Science at the University of Memphis, under the guidance of advisor and committee chair Dr. Santosh Kumar, with committee members Dr. David Almeida, Dr. Brandon Booth, and Dr. MyoungGyu Won
- Presented a talk titled "From Stress Ratings to Stressors: Efficiency, Coverage, and Implications" at the "Digital Health Technologies and AI for Studying and Predicting Episodic Health Events" workshop at the IEEE BHI Conference in Atlanta
- Shared work among leading researchers at the intersection of digital health, AI, and behavioral sensing, and served on the panel for the session on Data Preprocessing & Algorithms, discussing challenges around multimodality, personalization, explainability, and AI foundation models in health
- Presented a workshop paper at UbiComp Mental Health Workshop at Espoo, Finland
- Presented two posters at mDOT Annual Meeting at University of Michigan, Ann Arbor
- Attended the Think Tank on “Generative AI-Powered Interactive mHealth Interventions” at University of Michigan, Ann Arbor
- Presented poster at mDOT Annual Meeting at Salt Lake City, Utah
- Attended the Visioning Workshop on Optimizing Interventions leveraging Brain, Behavior, and Physiology interactions in the Natural Field Environment at Salt Lake City, Utah
- Presented the paper at CHI conference at Honolulu, Hawaii
- Presented poster at mDOT Annual Meeting at Harvard University, Boston