About Me

My research lies at the intersection of machine learning, polar science, and physical oceanography. I use machine learning and explainable AI to study sea-ice predictability across timescales, while also investigating the upper-ocean processes that shape ocean variability and air-sea-ice interactions.

I am currently a postdoctoral researcher at UC Santa Cruz, where I study ocean fronts and submesoscale dynamics using high-resolution ocean simulations. I am particularly interested in connecting this work to Southern Ocean and sea-ice processes, and in exploring how machine learning can connect predictive and physical understanding with observational priorities. I also co-lead OAISIS (Observation System Design with AI for Sea Ice Surveillance), an Antarctica InSync working group focused on AI-enabled approaches to Southern Ocean sea-ice observing-system design, and serve on the leadership team of the Southern Ocean Observing System (SOOS) Observing System Design Capability Working Group.