with a keen interest in theory and programming.
In my work with Brad Voytek, we use machine learning, computer simulations, and applied mathematics (nonlinear dynamics) to tightly join biology with the study of complex human cognition.
During my PhD with Carol Seger I did a good amount of fMRI experimental design and analysis, machine learning of high dimensional neural data, and used reinforcement learning to study human behavior. Farther back I've worked in nanotech, chemistry, biophysics, and biochemistry, including a couple years in the Bay Area Biotech industry.
Take a look at my github page or the labs. All recent simulation and analysis code is there, or will be shortly. #openscience. I'm fluent in python, R, matlab, perl, have a working knowledge of Haskell, lisp, C, and some familiarity with Java.
I love giving talks about data science, and neuroscience.
For fun I read books, poems, ride, and am (it seems) the kind of person who runs distance for fun.
...I want to make my puggle into a robot.