UCLA Ph.D. Research and Recent Experiences
I graduated (Spring 2024) with my Ph.D. in Electrical and Computer Engineering from the University of California, Los Angeles with a focus on causal generative modeling, model security and robustness, and generative model interpretability.
In Summer 2022, I worked at Street Simplified Inc, using machine learning for a trajectory prediction model
to enable real-time traffic intersection safety analytics and interventions.
Since Spring 2023, I have worked as a lead Data Scientist and Machine Learning Engineer for StreetMetrics Inc, where we use statistical processes and AI algorithms on geo-temporal datasets for out-of-home advertising measurement and attribution