Dennis Wei is a research staff member in the Data Science Group of the Business Solutions and Mathematical Sciences Department at the IBM Thomas J. Watson Research Center. His research interests lie broadly in signal processing, machine learning, optimization, and statistics. Areas of focus include adaptive sensing and planning, low-dimensional models, applications of optimization, business analytics, and sparse filter design. He received S.B. degrees in electrical engineering and in physics in 2006, the M.Eng. degree in electrical engineering in 2007, and the Ph.D. degree in electrical engineering in 2011, all from the Massachusetts Institute of Technology. From 2011 to 2013 he was a post-doctoral research fellow in the EECS Department at the University of Michigan. Dr. Wei received a Notable Paper Award at the 2013 International Conference on Artificial Intelligence and Statistics (AISTATS) and co-authored a Best Student Paper at the 2013 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). He is also a recipient of the William Asbjornsen Albert Memorial Fellowship at MIT and a Siebel Scholarship. He is a member of Phi Beta Kappa, Sigma Xi, Eta Kappa Nu, and Sigma Pi Sigma.