Frank has moved to the Gatsby Institute for Computational Neuroscience at the University College London. You will automatically be redirected to his new website in 5 seconds.

My research effort is directed towards contributing models and algorithms to the field of statistical machine learning. The results from my research are broadly applicable, however the application domains on which I focus are computational neuroscience and neuroprosthesis development.

I believe that the conceptual symbiosis between neuroscience and computer science (particularly machine learning) is still in its infancy. As a computer scientist I believe that the computational superiority exhibited by even the most simple biological organisms is a strong argument for doing research at the intersection of the two fields.

My goal is to build machine learning algorithms that improve on the state of the art by drawing from scientific findings at all levels of scientific investigation (physics to psychology). I am particularly interested in pursuing the connections between specific features of Bayesian machine learning algorithms and the biological mechanisms they very much resemble.