Nitish Nagesh

Nitish Nagesh is a Ph.D. candidate in Computer Science at the University of California, Irvine, affiliated with the Institute for Future Health. His research focuses on causal inference, synthetic data generation, and fairness to tackle challenges in health and medicine. His work has been featured in IEEE Medicine & Biology, Elsevier Smart Health, the American Heart Association, and the American Diabetes Association. He has received UC Irvine’s Beall Family Entrepreneur Award, the TU Munich Young Academy Scholarship, and the Best Outgoing Student award in Electrical Engineering at R.V. College. Outside of work, he enjoys science communication and mentoring students from diverse backgrounds.

selected publications

arXiv

FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation

Nitish Nagesh, Ziyu Wang, and Amir M Rahmani

arXiv preprint arXiv:2506.19082, 2025

Bib

@article{nagesh2025faircausesyn,
  title = {FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation},
  author = {Nagesh, Nitish and Wang, Ziyu and Rahmani, Amir M},
  journal = {arXiv preprint arXiv:2506.19082},
  year = {2025},
}

Smart Health

ChatDiet: Empowering personalized nutrition-oriented food recommender chatbots through an LLM-augmented framework

Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, and 4 more authors

Smart Health, 2024

Bib

@article{yang2024chatdiet,
  title = {ChatDiet: Empowering personalized nutrition-oriented food recommender chatbots through an LLM-augmented framework},
  author = {Yang, Zhongqi and Khatibi, Elahe and Nagesh, Nitish and Abbasian, Mahyar and Azimi, Iman and Jain, Ramesh and Rahmani, Amir M},
  journal = {Smart Health},
  volume = {32},
  pages = {100465},
  year = {2024},
  publisher = {Elsevier},
}