Short bio
Prof. Jensen envisions a future in which molecular and materials discovery is realized via “Big Computing / Big Data”, not serendipity. Over the last 10 years, he has pursued this vision by developing fundamental and truly general-purpose methods for automated, de novo design of any kind of molecule, including catalysts and other metal-containing functional molecules. A related priority has been to verify predicted functional molecules by synthesis and testing. A second related track has been to uncover mechanistic insight to be used in subsequent computationally guided design.
Teaching
Recent courses: An undergraduate course on quantum mechanics (KJEM221 Quantum Mechanics), a graduate course (KJEM324 Selected Topics in Theoretical Chemistry) with focus on computational transition metal chemistry, and a special reading list with a focus on cheminformatics.
Earlier courses: An undergraduate course (KJEM220 Molecular Modeling) on classical and quantum-based computational chemistry, and an introductory course (KJEM120 Chemistry of the Elements) on inorganic chemistry.