Philip, Princeton '82, Univ. of Illinois Ph.D. '87, is an outstanding scientist who focuses on what is known as “low signal-to-noise” data analyses. This involves finding insights and patterns in "noisy" data and depicting these analytics in user-friendly ways. He has worked on data imaging and other data analytics in Behavioral Health and Neuroscience. He has co-developed valuable techniques in fMRI and cryo-electron microscopy. Phil has recently been serving as a research scientist at the Salk Institute for Biological Studies and the New York Structural Biology Center.