# Dhruva Bhat

> EECS & BioE @ UC Berkeley | BioML Research @ UCSF | AI Safety Policy Fellow @ BASIS

Location: United States, United States
Profile: https://flows.cv/dhruva

## Work Experience
### Intern @ Oak Ridge National Laboratory
Jan 2026 – Present
Incoming AI Engineering Intern @ORNL, Summer 2026

### Software Developer @ Blueprint, Technology for Non-Profits
Jan 2026 – Present | Berkeley, California, United States
Developing full-stack applications and optimized routing algorithms for non-profits

### AI Alignment & Mechanism Design Researcher @ Carnegie Mellon University
Jan 2026 – Present
Collaborating with Professor Cen researching bounded rationality of LLMs in institutional settings through benchmarking against game-theory baselines

### Cancer-Applied Machine Learning Researcher @ University of California, San Francisco
Jan 2025 – Present | San Francisco Bay Area
Collaborating with Professor Oldham using Omicron data modeling to find optimal cancer gene markers using unsupervised learning and dimensionality reduction methods

### AI Safety Policy Research Fellow @ Berkeley AI Safety Student Initiative
Jan 2026 – Present | Berkeley, California, United States
Analyzing corporate, federal, and global AI governance to assess the security risks of agentic AI and ensure safe system development

### Chief of Research @ ThinkNeuro, LLC
Jan 2025 – Present
• Developing overdose physiology marker database to use with patented overdose prevention device
• Published 3 manuscripts in Health Journal produced through Clinical Internship

### Head of Conferences @ ThinkNeuro, LLC
Jan 2023 – Jan 2025
• Led team in creating overdose prevention device patented by Baker Botts LLC pro-bono
• Co-led clinical internship program w/ 350+ members; taught R for bibliometric analysis

### Associate Researcher @ ThinkNeuro, LLC
Jan 2023 – Jan 2023
Bibliometric analysis using R and R-Shiny on neural plasticity and brain development

### Researcher - Garcia Center for Polymers at Engineered Interfaces @ Stony Brook University
Jan 2024 – Jan 2024 | Stony Brook, New York, United States
• Trained, optimized Gaussian Regression on polystyrene-coating to create thin films for semiconductors
• Characterized rheological properties of hydrogel-based treatment for brain aneurysms; discovered correlation between F88DMA concentration and cross-linking time
• Oral and Poster Presentations on findings at Materials Research Society Conference 2025


## Education
### University of California, Berkeley

### Foothill High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/dhruvabhat

---
Source: https://flows.cv/dhruva
JSON Resume: https://flows.cv/dhruva/resume.json
Last updated: 2026-04-11