Kamran Hussain

Selected research

• Speech brain–computer interfaces

  I presented work on bringing intracortical speech BCIs closer to conversational speeds at the 2025 BCI Society Meeting, and was part of the team awarded first place in the 2025 BCI Award.

  • Talk
  • BCI Award

• Neural population forecasting

  Two 2026 preprints introduce a large-scale benchmark for forecasting spiking activity and test whether forecasted firing rates help decode behavior.

  • Preprints

• SpikeLab

  A Python library and agent workflow for analyzing spike data, designed so that electrophysiology analyses use vetted methods and can be reproduced.

  • Preprint
  • Code
  • Documentation

All research

Background

My research background spans speech neuroprosthetics at Stanford NPTL and neural activity modeling with the UCSC Braingeneers. Earlier experiences at NASA Ames and UC San Diego helped shape my interest in neural interfaces and applied machine learning.

• Stanford Neural Prosthetics Translational Laboratory (NPTL)
  SURFiN fellow · Speech neuroprosthetics
• UC Santa Cruz Braingeneers
  Neural activity prediction and organoid electrophysiology

Selected projects

• Polaris

  A hackathon prototype that uses fishing-vessel sensor data to identify early signs of engine failure. The team won first place at the 2025 Sushi Hackathon.

• StatScanner

  An iOS app for importing numerical data from images or CSV files, calculating statistics, and creating charts.

All projects