Theoretical Neurobiology

PhD in progress, CNBC @ CMU

[c.v.] [thoughts]

I study neurobiological circuit dynamics.

Currently working on:

Spending the summer with the Synthetic Cognition group @ LANL
Correlated variability in coupled circuits (with Brent Doiron, et al.) [in review]

Funding: DOE CSGF and NSF GRFP

High-Performance Computing

I develop ahh, a Python package containing useful tools for high-performance scientific computing, including

cl, a superset of the OpenCL runtime which maintains metadata to make it less tedious to program with.
cl.oquence, a superset of the OpenCL language sporting a Python-like syntax, type inference, higher-order functions, macros and other stuff, without sacrificing an ounce of speed
cl.ements, a collection of blazing-fast OpenCL-based data analysis functions
cl.egans, a cl.oquence-based simulation package, which I use for neurobiological circuit simulations

Rehabilitative Interfaces

with Todd Coleman, Tim Bretl, et al. @ UIUC

I design faster, more usable brain-computer interfaces to help paralyzed and locked-in patients communicate.

Currently working on:

Using feedback information theory to better design BCIs [in review]
Improved language models

Contextual Programming

just for fun

I'm (slowly) prototyping a usable next-generation programming language and environment, vaguely inspired by Self, Clojure, Javascript, LaTeX, Sage and Python.

Currently working on: