Mark V. Albert
Dr. Albert directs the PAC lab (http://pac-lab.org) where machine learning is used to automatically interpret data collected from worn sensors, including the accelerometers in mobile phones. He has published a number of papers measuring motor adaptation, detecting falls, recognizing activities, and measuring movement qualities for a wide variety of affected populations including individuals with Parkinson's disease, spinal cord injury, and transfemoral amputations. He also leads the Theoretical Neuroscience lab (http://theoneuro.org) pursuing aspects of visual development from a computational perspective.
Prior to joining Loyola, he was a postdoctoral research associate at the Rehabilitation Institute of Chicago where he maintains his affiliations as an adjunct faculty member in the department of physical medicine and rehabilitation at Northwestern University. Prior to Chicago, he received his PhD in computational biology from Cornell University, with an emphasis on applying efficient coding principles to computational neuroscience. While a graduate student there, he was also part of the mobile phone-based startup company Instinctiv. Before Cornell, as research assistant at Carnegie Mellon University, he applied computational models to cognition through human fMRI experiments and to vision in primate neurophysiology. He is a Fulbright Scholar from the University of Vienna and a graduate from Pittsburg State University.