Michael Wu is the Principal Scientist of Analytics at Lithium Technologies Inc. Michael received his Ph.D. from UC Berkeley's Biophysics graduate program. His graduate research focuses on modeling the human brain, specifically the visual cortex, with techniques from math, statistics, and machine learning. Michael has been a DOE (US Dept. of Energy) fellow during his graduate career and was awarded 4 years of full fellowship plus stipend under the Computational Science Graduate Fellowship. During his fellowship tenure, he has also served at the Los Alamos National Lab, conducting cutting edge research in machine learning and face recognition. Currently, Michael is applying similar data-driven methodologies to investigate and understand the complex dynamics within online communities. Prior to his graduate research, Michael received his undergraduate degree from UC Berkeley triple majoring in Applied Math, Physics, and Molecular & Cell Biology.