Biography

I am a PhD candidate at the University of California, Riverside, where I work on ML-driven modeling and control of neurostimulation for epilepsy treatment. My research focuses on seizure forecasting, predictive dynamical models of intracranial EEG, and applied machine learning for biomedical systems. I have collaborated with Penn Medicine and worked in Intel Labs on large-scale ML pipelines, neural dynamics modeling, and reinforcement learning for robotics. I have experience reviewing manuscripts in machine learning, signal processing, and computational neuroscience. My expertise includes deep learning, probabilistic modeling, time-series analysis, and algorithmic optimization.