Dr. Albert is a postdoctoral research associate at the Rehabilitation Institute of Chicago and Northwestern University. His current research applies machine learning to automatically interpret data collected from remote sensors carried by patients, including the accelerometers in their mobile phones. He has published a number of papers measuring motor adaptation, detecting falls, and recognizing patient activities.
Prior to Chicago, he received his Ph.D. 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 Pittsburgh State University.