Kamran Hussain

Kamran Hussain

Aspiring Computational Neuroscientist & ML Researcher

About Me

I'm an aspiring computational neuroscientist and machine learning researcher passionate about understanding the brain and building intelligent systems. My work combines cutting-edge machine learning techniques with neuroscience research to push the boundaries of what's possible. Some of the work I've done to push the boundaries of both machine learning and neuroscience includes restoring communication via a conversational speed speech brain computer interface and a foundation model for electrophysiology.

Research Focus

My research focuses on understanding neural mechanisms and developing AI systems that can learn and adapt like the human brain. I'm particularly interested in:

  • Brain-Computer Interfaces
  • Foundation Models for Neuroscience
  • Neuroscience Inspired Machine Learning
  • Representational Drift

Personal Interests

When I'm not researching or coding, you can find me:

  • Competitively fencing
  • Watching Star Wars
  • Exploring new technologies
  • Building costumes, robots, or automating my life

Professional Journey

2024

SURFIN Research Fellow

Neural Prosthetics Translational Lab, Stanford University

Conversational rate speech BCIs in People with Paralysis.

2023

Neural Research Engineer

Braingeneers, UC Santa Cruz Genomics Institute

Foundation models for cortical organoid electrophysiology.

2023

Founder and CEO

TensorLearn LLC

Real time, generative interfaces for education.

2022

Flight Dynamics, Trajectory, and Controls Intern

NASA Ames Research Center

Language modeling for autonomous vehicle integration.

2022

Neural Data Science Intern

Translational Neuroengineering Lab, UC San Diego

Neuropixels for songbird vocal neuroprosthetics.

Research Highlights

Exploring the intersection of neuroscience and artificial intelligence through cutting-edge research and development.

Foundation Model

Building novel machine learning models for a foundation model of cortical organoid electrophysiology.

Generative Interfaces

TensorLearn built novel real-time machine learning models for generative interfaces, where the entire screen is generated by the model.

Conversational Rate Speech BCI

A brain-computer interface that decodes neural representations of speech at a conversational speed.

AI Wet Lab Assistant

An embodied AI agent that is capable of autonomously performing wet lab experiments with minimal instructions.

Featured Projects

Explore some of my recent projects at the intersection of neuroscience and AI.

StatScanner

A mobile app for scanning and analyzing statistical data on the go. Built custom OCR models to detect structured data from images and visualize said data in an interactive format.

SwiftComputer VisionCoreML

EMG Personal Computer Use

An EMG wrist band for personal computer use via cursor control and click detection. I mentored undergraduate students during this project to learn about building a BCI from the ground up, leading both the decoding and hardware development.

PythonMLNeuroscience

Gesture Driven Augmented Reality Navigation

A computer vision based navigation system for augmented reality interfacing. This project won first place at the HelixHacks II hackathon and leveraged unity for 3D world modeling and AR integration.

PythonComputer VisionUnity3D Modeling