Computational neuroscience & ML, from organoids to conversational-rate speech BCIs
Research
Brain Computer Interfaces to restore communication, autoregressive neural population modeling, neuro foundation models, and modern computational analysis tools for electrophysiology
- Implicit Behavioral Decoding from Next-Step Spike Forecasts at Population Scale
- SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting
- SpikeLab: Agentic tools for spike data analysis
Professional Journey
ML Research Scientist Intern
Tacit AI / Reflex Technologies
Multimodal speech models & distributed training on B200s.
SURFIN Research Fellow
Stanford University (NPTL)
Real-time brain-to-text decoding & speech rate neural coding.
Undergraduate Research Engineer
Braingeneers, UC Santa Cruz
Foundation models for organoids & SpikeData toolkit.
Founder and CEO
TensorLearn
$1M+ funding & asset acquisition for AI education tools.
Flight Dynamics, Trajectory and Controls Intern
NASA Ames Research Center
Transformer models for aviation service recommendations.
Neural Data Science Intern
UC San Diego (TNEL)
Songbird neural data analysis & NWB standardization.
Featured Projects
Explore some of my recent projects at the intersection of neuroscience and AI.
SpikeData
Python-based module for creating flexible and robust spike sorting pipelines for high-density neural recordings.
Polaris
On-device predictive maintenance for fishing vessels using sensor fusion and edge ML. 1st Place at Sushi Hackathon 2025.
StatScanner
iOS app that scans tables from paper and turns them into interactive stats visualizations using custom OCR + CoreML.
Sushi Agent
Autonomous LLM agents that discover and negotiate for private coupons. 2nd Place at Sushi Hackathon 2024.
Rubauto
Generative diffusion model for stylistic music synthesis and high-fidelity audio variations.