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Dr. Hosein Mohimani is an Associate Professor in Computational Medicine at UCLA. His research interests include utilizing tandem mass spectrometry and machine learning to characterize the products of enzymatic transformations of small molecules, with a special focus on human P450 metabolism. He aims to integrate machine learning with automated liquid handling systems and chromatography systems, such as flash chromatography and high-performance liquid chromatography (HPLC), to design fully automated high-throughput purification systems for small molecules, applicable in fields like metabolism, synthetic chemistry, and drug discovery. Before joining UCLA, he was an Assistant Professor at Carnegie Mellon University, where he focused on using tandem mass spectrometry and machine learning to elucidate the structures of small molecule natural products. Prior to his faculty position, Dr. Mohimani held scientist positions at Illumina Inc. and UCSD after earning his Ph.D. from the University of California, San Diego and a B.S. from Sharif University of Technology.
University of California, Los Angeles • Los Angeles, CA
Teaching and conducting research in the field of Computational Medicine.
Carnegie Mellon University • Pittsburgh, PA
Focused on using tandem mass spectrometry and machine learning to elucidate the structure of small molecule natural products.
Illumina Inc. • San Diego, CA
Worked on research and development related to genomics.
University of California, San Diego • San Diego, CA
Involved in research projects prior to joining the faculty.
Department of Economics admits primarily for the PhD program.