CS PhD Student · AI for Health · Fairness · Causal Inference
I’m a Ph.D. student in Computer Science at the Donald Bren School of Information and Computer Sciences, UC Irvine, advised by Prof. Amir M. Rahmani.
My research focuses on causal inference, generative AI, and large language models for real-world healthcare. I build tools that aim to make AI fair, explainable, and clinically useful.
I’ve published in venues like IEEE Medicine & Biology and Elsevier Smart Health, and my current work includes building causally fair synthetic data pipelines and LLM-powered diet coaching agents.
I’m fluent in Python, R, SQL, PyTorch, TensorFlow, and LangChain. I enjoy developing end-to-end AI applications — from data engineering to model deployment.
Beyond academia, I’m passionate about entrepreneurship and building impactful, equitable AI systems that can scale in the real world.
Ph.D., Computer Science – GPA: 3.9
M.S., Computer Science – GPA: 3.83
M.S., Electrical & Computer Engineering – GPA: 3.61
B.E., Electrical & Electronics Engineering – GPA: 3.74
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Lead Mentor