I’m a PhD student at Colorado State University studying Computer Science, with a focus on applied machine learning, human-AI teaming, and trust in AI systems. I’m a member of the SIGNAL Lab, advised by Dr. Nikhil Krishnaswamy.

My research centers on building AI systems that work with humans in high-stakes, real-time settings — not just alongside them. My primary work investigates AI assistance for spatial disorientation, a leading cause of fatal aircraft accidents. I develop reinforcement learning and deep learning agents that provide real-time corrective guidance to pilots performing disorienting balance tasks, and study how humans perceive, trust, and respond to different AI strategies. A key finding from this work: AI agents that behave more like humans — even when objectively suboptimal — are better trusted and more effective at improving human performance than agents that simply maximize task metrics.

A central theme across my projects is bidirectional human-AI learning: systems where humans and AI mutually correct and adapt to each other. Through a dyadic training framework I developed, both the human and AI improve together over repeated interactions — the AI learns from human disagreement, and the human improves by following AI guidance. This work received a Best Paper Nomination at the International Conference on Human-Agent Interaction 2024.

I’m currently extending this line of work into healthcare, developing embodied AI agents to assist local practitioners in performing hospital-level procedures through multimodal real-time guidance.

If you want to know more take a look at my works and resume or send me an email.