Klavs F. Jensen
Massachusetts Institute of Technology
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Primary Section: 31, Engineering Sciences Secondary Section: 14, Chemistry Membership Type:
Member
(elected 2017)
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Biosketch
Klavs F. Jensen is Warren K. Lewis Professor in Chemical Engineering and Materials Science and Engineering at the Massachusetts Institute of Technology. From 2007- July 2015 he was the Head of the Department of Chemical Engineering. He received his MSc in Chemical Engineering from the Technical University of Denmark (DTU) and his Ph.D. in chemical engineering from the University of Wisconsin-Madison. He is a co-director of MIT's consortium, Machine Learning for Pharmaceutical Discovery and Synthesis, which aims to bring machine learning technology into pharmaceutical discovery and development. He is the recipient of several awards, including a National Science Foundation Presidential Young Investigator Award, a Camille and Henry Dreyfus Foundation Teacher-Scholar Grant, a Guggenheim Fellowship, and the Allan P. Colburn, R.H. Wilhelm, W.H. Walker, and Founders Awards of the American Institute of Chemical Engineers. He received the inaugural IUPAC-ThalesNano Prize in Flow Chemistry in 2012. Professor Jensen is a member of the US National Academy of Sciences, the US National Academy of Engineering as well as the American Academy of Arts and Science. He is a Fellow of the American Association for the Advancement of Science (AAAS), and the American Institute of Chemical Engineers, and the Royal Society of Chemistry.
Research Interests
Klavs F. Jensen's research interests include on-demand multistep synthesis, methods for automated synthesis, and machine learning techniques for chemical synthesis and interpreting large chemical data sets. As founder and a co-director of MIT's consortium, Machine Learning for Pharmaceutical Discovery and Synthesis, he is interested in helping bring machine learning technology into pharmaceutical discovery and development. Development of catalytic systems, understanding chemical kinetics, and modeling of transport phenomena are also topics of interest along with development of methods for predicting performance of reactive chemical systems.
