Nitish Nagesh

CS PhD Student · AI for Health · Fairness · Causal Inference

About Me

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.

Education

University of California, Irvine (Sep 2021 – Jun 2026)

Ph.D., Computer Science – GPA: 3.9

University of California, Irvine (Sep 2021 – Jun 2023)

M.S., Computer Science – GPA: 3.83

Technical University of Munich (Oct 2018 – Dec 2020)

M.S., Electrical & Computer Engineering – GPA: 3.61

R.V. College of Engineering (Jul 2012 – Aug 2016)

B.E., Electrical & Electronics Engineering – GPA: 3.74

Experience

Graduate Research Scientist – UC Irvine IFH, Irvine, CA (June 2022 – Present)

  • Built a causally fair, LLM-augmented synthetic data generation pipeline (first-author paper in progress).
  • Co-developed a diet recommendation chatbot using health data (Elsevier Smart Health 2024).
  • Integrated nutrition models into explainable diet agents (IEEE Medicine & Biology 2024).
  • Led causal analysis on N-of-1 data studying caffeine's impact on HRV (first-author paper).

Research Data Scientist Intern – ResMed, San Diego, CA (June 2024 – Sept 2024)

  • Built a LangChain-based topic modeling system for 6,000+ sleep apnea patients.
  • Co-led validation of clinical claims for therapy personalization (ATS 2025 abstract).

Data Scientist Intern – iHealth Labs, Sunnyvale, CA (June 2023 – Sept 2023)

  • Led HIPAA-compliant data aggregation and analysis for 12,000 RPM patients.
  • Developed personalized interventions for diabetes and hypertension (AHA 2024).

Applied ML Intern – UC Irvine IFH, Irvine, CA (Sept 2021 – May 2022)

  • Built DL pipeline for retina segmentation (31% optic disk accuracy).
  • Classified Fashion-MNIST using CNNs (93% test accuracy with tuning).

Software Engineer – Qualcomm, Austin, TX (Mar 2021 – Aug 2021)

  • Developed a Python tool for parsing 5,000 accelerator logs (3× speedup).
  • Improved ML SDK performance by 10% via debugging and feature tuning.

Teaching Assistant – UC Irvine, Irvine, CA (Sept 2021 – Present)

  • Led discussions, office hours, and online forums across 4+ CS courses, reaching 600+ students.
  • Received >90% ratings on engagement, accessibility, and communication.

Visiting Researcher – UC San Diego, San Diego, CA (Sept 2019 – Feb 2021)

  • Developed reliability-aware task allocation strategies for IoT systems (Python).
  • Built a real-world IoT mesh network with MQTT/Wi-Fi communication.
  • Achieved 90% accuracy validating a reliability simulation framework (Python/C++).

Relevant Publications

Leadership & Service

DECADE, UC Irvine (Sep 2021 – Present, Irvine, CA)

CS Dept. Representative

  • Collaborated with faculty/students to improve retention of minorities in grad programs
  • Organized panel on "How to Excel in your Summer Internship" with speakers from Google, Amazon, etc.
  • Led panel on LLMs, reproducibility, and computing’s societal impact with 50+ attendees

Artificial Intelligence Club, UC Irvine (Sep 2021 – Present, Irvine, CA)

Lead Mentor

  • Initiated "How to Apply to Grad School" series for 75+ students (5+ admits to CMU, UC Berkeley, etc.)
  • Ran 10-week coding prep program for ML/software internships (15 students)
  • Hosted sessions on research opportunities → helped 5+ students secure UROP & lab roles

Awards & Honors

University of California, Irvine

  • Beall Family Entrepreneur Award in Computer Science ($5,000)
  • Professional Development Award ($500) for DEI efforts
  • Incoming Student Fellowship ($2,500 – 1 of 350)
  • Entrepreneurship Coaching Grant ($5,000 – 2/year)
  • Grad Slam 3-minute Research Pitch Semi-Finalist (1 of 50, 3 consecutive years)

Technical University of Munich

  • International Student Scholarship ($2,500 – 1 of 200)
  • Master’s Thesis Scholarship ($2,000 – 1 of 50)
  • Young Academy Scholar Cohort (1 of 40)

R.V. College of Engineering

  • Best Outgoing Student (1st in 70) for all-round excellence
  • Academic Excellence Award (2nd in 70)
  • Most Innovative Thesis Award (2nd in 70)

Contact

nnagesh1@uci.edu
GitHub | LinkedIn