Jonathan YedidiaHere is a short bio:

I am a physicist by training, now working on artificial intelligence. My current research focus is on the design and hardware implementation of machine learning and inference algorithms.

My bachelor’s degree (A.B. Harvard, 1985) and master’s degree (M.A. Princeton, 1987) were in physics, and my doctorate (Ph.D. Princeton, 1990) was in theoretical physics, specifically the statistical mechanics of disordered systems.

I continued research along these lines, but also started work in biophysics and evolutionary algorithms from 1990-1993, when I was a Junior Fellow at Harvard’s Society of Fellows.

In 1993, I switched gears and became a professional chess player and teacher. I hold the title of international master.

In 1997, I joined the web start-up Viaweb, where I helped develop the shopping search engine that has since become Yahoo! Shopping.

In 1998, I resumed my research career at Mitsubishi Electric Research Labs, where I worked on probabilistic inference algorithms, such as the famous belief propagation algorithm, and their applications in a variety of fields, including communications, signal processing, and artificial intelligence.

In 2011, I moved to Disney Research Boston, where I worked on algorithms for artificial intelligence, with applications in machine perception and robotics.

Since January 2016, I have been Director of AI Research at Analog Devices, where I currently direct a team of around thirty researchers in the Algorithmic Systems Group at Analog Garage, located at 125 Summer Street in Boston. Our team creates advanced algorithms in the fields of signal processing, machine learning, and artificial intelligence, and implements those algorithms in practical and efficient hardware.  I can be reached by using myfirstname.mylastname at analog dot com (I trust you can make the obvious replacements).