Our current research focuses on combining multidisciplinary techniques: electrophysiology, computational and statistical modeling, and neural engineering to investigate basic and translational neuroscience questions, and to address challenging data analytic problems in neuropsychiatric clinical research.
In collaboration with experimental neuroscientists, we are working on several exciting projects: (i) learning and memory associated with hippocampal-cortical circuits. (ii) thalamocortical and cortico-thalamic circuits in working memory and executive control. (iii) real-time brain-machine interface for pain circuits and memory circuits.
Assistant Professor, Department of Psychiatry
Assistant Professor, Department of Neuroscience and Physiology
PhD from McMaster University
Harvard Medical School, Neuroscience Statistics Research Lab
Scientific reports. 2018 May 29; 8(1):8299-8299
Scientific reports. 2018 May 29; 8(1):8298-8298
Cell reports. 2018 May 01; 23(5):1301-1313
Neural computation. 2018 Apr 13; 1-35
Journal of neurophysiology. 2018 Apr 01; 119(4):1394-1410
Dynamic Neuroscience: Statistics, Modeling, and Control. [S.l.] : Springer International Publishing, 2017. p.1-328. (3032022)
Dynamic Neuroscience: Statistics, Modeling, and Control. [S.l.] : Springer International Publishing, 2017. p.53-82. (3032072)