Research Scientist & ML Engineer
Rohan Pandey
ML, mathematics & computational biology. Building at the intersection of reinforcement learning, cancer research, and systems that scale.
Now
- Building at DigitalOcean — cloud infrastructure & developer tools
- Research in RL + symbolic systems (GNNs, PPO, verification)
- Exploring EEG/NeuroAI visualization and realtime systems
About
I'm an incoming BS/MS student in Applied & Computational Mathematical Sciences (ACMS) at the University of Washington and a Research Scientist and ML Engineer. I minored in Neural Computation and Engineering, with a focus on AI in neuroscience.
My work spans reinforcement learning for polynomial synthesis (GNNs, PPO), cancer modeling for CAR T-cell therapy, and deep learning and adversarial ML for robust systems. I love building at the intersection of theory and applied systems.
When I'm not in the lab or building rockets, I'm on the tennis court or winning at Monopoly. I'm always up for collaborating and exploring new tech.
Skills & expertise
Experience
Software Engineer II · DigitalOcean Mar 2026 – Present
Building and scaling cloud infrastructure and developer tools at DigitalOcean.
- Systems design, reliability, and performance work across production services
- Developer experience improvements: APIs, tooling, and automation
Research Assistant · Math AI Lab, UW Sep 2025 – Present
RL framework (PPO + GNNs) for polynomial arithmetic circuits; curriculum learning, symbolic verification, and search.
- Designed environments and reward shaping for symbolic synthesis tasks
- Integrated verification to keep policies grounded in correctness
ML Engineer · Mercor Dec 2025 – Mar 2026
End-to-end ML pipeline for text sentiment; fine-tuned transformers, model selection, and inference automation.
- Owned evaluation harness, model selection, and rollout workflow
- Improved inference reliability and reduced manual ops overhead
Cloud & Digital SAP Intern · PwC Jun – Aug 2025
High-performance Python data pipelines; self-service web app for workflow automation.
Data Scientist Intern · Fred Hutch Aug 2024 – Jan 2026
ODE-based CAR T-cell & tumor models; linear regression / MSE for therapy outcome prediction.
ML Intern · Naval Surface Warfare Center Oct – Dec 2024
DDPG in MATLAB/Simulink for turbomachinery efficiency; reward design for lift/drag/energy.
ML Intern · MINDCO LABS Sep – Dec 2024
Real-time eye-tracking for BCI; gaze + EEG pipeline for cognitive signal decoding.
Project Manager Intern · NASA L'SPACE May – Aug 2024
Lucy & Artemis; led team of 11 on lunar ice mapping rover; PDR, budget, programmatics.
Lead Engineer · SARP Oct 2022 – Jun 2024
ARES: GPS-guided recovery, drogue logic, telemetry in C++/Python.
Hackathons
Builds with real-world impact.
Husky Maps
Faster way to commute through campus — shortcuts through buildings for less walking time.
Winner — UW Claude Hackathon 2025BloomSync AI
AI-guided bioinformatics pipeline that reprograms apple flowering genes through FT/TFL1 edits — new-wood fruiting and robotics-ready orchards.
2nd Place — DubHacksNeuralTrace
Real-time EEG learning visualizer — live EEG from OpenBCI in the browser via Web Serial API, 3D brain with electrode glow, and interactive neural connection animations. No backend required.
Top project — NeuroAI HackathonPublications
Papers, preprints, and research posters — all in one place.
View all research
Browse published work, in-progress reports, and posters on my publications site.
Open publications site