Russell Ro
ML researcher. PhD candidate @ UC Berkeley Bioengineering. Advised by Reza Abbasi-Asl. NSF GRFP fellow.
I research and build ML and agentic systems. Currently focused on:
- ML for clinical trial design,
- meta-learning for multi-agent systems,
- and deploying production-grade agentic systems for clients in ecommerce/logistics.
Contact
Please feel free to contact me at rro [at] berkeley.edu or on LinkedIn.
Please feel free to contact me at rro [at] berkeley.edu or on LinkedIn.
News:
07/26/2026: Our paper RECITE: Revising Eligibility Criteria Incorporating Textual Evidence was accepted to KDD 2026 (AI4Sciences track). I’ll be presenting in Jeju this August. RECITE is a benchmark for evaluating LLMs on revising clinical trial eligibility criteria using evidence from protocol amendments.
Currently building:
- Evidence-guided clinical trial design — benchmarks and retrieval systems over 500K+ clinical trials, plus large-scale studies of how eligibility criteria evolve (and whether trials adopt published recommendations)
- Multi-agent orchestration for industry and research — a framework of messaging-interfaced agents with multi-model routing and subagent deployment that runs my research operations day-to-day
Other things I’ve done:
- Adversarial robustness testing of medical LLMs (arXiv)
- Designed a high-throughput drug screening system at Novartis (article)
- ScanAlert: electronic medication adherence monitor
- Satellite test engineering at Amazon (Project Kuiper)
Honors: NSF GRFP, Jacobs Scholar, Tau Beta Pi, Intel ISEF Finalist