Stochastic Circuits
Working with the fabulous Vikash Mansinghka , I've spent a lot of time building novel computing architectures for solving hard problems in probabilistic inference. It turns out that when you embrace, not suppress, stochasticity, you can build systems that are lower power, more robust to noise, and quite composible.
Eric Jonas
Assistant Professor of Computer Science
My research focuses on the application of machine learning to inverse problems and scientific measurement.