Ph.D. Student, MIT Computer Science and Artificial Intelligence Laboratory
Jonas Mueller is a graduate student at MIT advised by Tommi Jaakkola and David Gifford. His research interests lie in developing machine learning methods for both statistical science and artificial intelligence applications. Much of his work is motivated by high-impact problems in computational biology and natural language processing, and has appeared in NIPS, ICML, AAAI, AISTATS, and JASA. Previously, Jonas studied Math and Statistics at UC Berkeley, where he was awarded the Departmental Citation, and he also recently spent time at Microsoft Research working on the ALICE project on Automated Learning and Intelligence for Causation and Economics.