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
Journal of neurophysiology. 2017 Dec 20; ?-?
IEEE transactions on pattern analysis & machine intelligence. 2017 Jul; 39(7):1294-1308
eLife. 2017 May 19; 6:?-?
Journal of neural engineering. 2017 Apr 06; 14(3):036023-036023
Trends in neurosciences. 2017 Apr 5; 40(5):260-275
IEEE circuits & systems magazine. 2017; 17(1):33-50
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). p.481-484. (2734702)
Osteoporosis international. 2016 Oct 7; 28(2):719-725