Nitish Nagesh
Research Scientist @Uc Irvine Donald Bren School Of Information And Computer Sciences
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WORK HISTORY
Research Scientist @Uc Irvine Donald Bren School Of Information And Computer Sciences
Irvine, CA, US
Build novel LLM-augmented causally fair synthetic data generation pipeline using Python, R to reduce bias in real-world health datasets; first-author publication in progress- Assisted in conceptualizing an LLM-powered framework for a diet recommendation chatbot using health data, achieving 92% effectiveness; co-authored publication in Elsevier Smart Health Journal- Integrated dietary guidelines and nutrition calculation tools into LLM-based health agents, enabling explainable diet risk assessments; co-authored publication in Medicine and Biology Conference- Developed a causal inference framework using Python for a 3-year N-of-1 observational dataset to analyze the effect of caffeine on heart rate variability; first-author paper in computing conference.
EDUCATION
RV College Of Engineering
Bachelor’s Degree, Electrical and Electronics Engineering
UC San Diego
Visiting Master's Student, Computer Science & Engineering
UC Irvine
Doctor of Philosophy - PhD, Computer Science
UC Irvine
Master of Science - MS, Computer Science
Technical University of Munich
Master's degree, Electrical and Computer Engineering
Bishop Cotton Boys' School
High School, Indian Secondary School (ISC)
ABOUT NITISH NAGESH
I am interested in fair and responsible AI for health applications.As a Ph.D. candidate in Computer Science at UC Irvine, I specialize in fairness-aware causal inference and large language models for health applications. My research has been published in top-tier venues like Medicine & Biology and Elsevier Smart Health.I have expertise in Python, R, SQL, PyTorch, TensorFlow, and LangChain, leveraging these tools to develop machine learning models and AI-driven applications.Outside of work, I enjoy science communication and mentoring people from diverse backgrounds.
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