Kamran Hussain
Loading...

Computational neuroscience & ML, from organoids to conversational-rate speech BCIs

147 wpm imagined speech brain-to-text decoding (online demos) at Stanford NPTL
HD-MEA organoid foundation models + SpikeData toolkit (Braingeneers/UCSC)
Generative Interfaces at TensorLearn

Research Tracks

My work focuses on two primary threads: decoding speech from the brain and modeling the dynamics of cortical organoids.

Speech Neuroprosthetics

Decoding Brain-to-Text at Stanford NPTL

Problem

Current speech BCIs are often too slow for natural conversation.

What I Built

A real-time streaming inference pipeline with low-latency text feedback loops.

Output

147 wpm imagined speech brain-to-text decoding reached in online demos at Stanford NPTL.

Explore this track

Organoid Foundation Models

Neural Data Science at Braingeneers/UCSC

Problem

Neural activity is complex and hard to predict, even in simple systems like organoids.

What I Built

An autoregressive foundation model that captures neural dynamics and predicts the activity of organoids.

Output

A single model that generalizes to unseen organoids and models dynamics; paired with an RL-based stimulation patterning algorithm to improve goal-directed training.

Explore this track

Professional Journey

2025

ML Research Scientist Intern

Tacit AI / Reflex Technologies

Multimodal speech models & distributed training on B200s.

2024

SURFIN Research Fellow

Stanford University (NPTL)

Real-time brain-to-text decoding & speech rate neural coding.

2023

Undergraduate Research Engineer

Braingeneers, UC Santa Cruz

Foundation models for organoids & SpikeData toolkit.

2023-2

Founder and CEO

TensorLearn

$1M+ funding & asset acquisition for AI education tools.

2022

NASA Research Intern

NASA Ames Research Center

Transformer models for aviation service recommendations.

2022-2

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.

PythonNeuroscienceData Science

Polaris

On-device predictive maintenance for fishing vessels using sensor fusion and edge ML. 1st Place at Sushi Hackathon 2025.

Edge AIIoTPythonSensor Fusion

StatScanner

iOS app that scans tables from paper and turns them into interactive stats visualizations using custom OCR + CoreML.

SwiftComputer VisionCoreMLiOS

Sushi Agent

Autonomous LLM agents that discover and negotiate for private coupons. 2nd Place at Sushi Hackathon 2024.

LLMAgentsPythonNLP

Rubauto

Generative diffusion model for stylistic music synthesis and high-fidelity audio variations.

Diffusion ModelsPyTorchAudio ML