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.
Assistant Professor, Department of Psychiatry
Assistant Professor, Department of Neuroscience and Physiology
PhD from McMaster University
Harvard Medical School, Neuroscience Statistics Research Lab
Patterns of Dose Prescription and Recording in Stereotactic Body Radiation Therapy: A Multi-institutional Study [Meeting Abstract]
International journal of radiation oncology biology physics. 2017 OCT 1; 99(2):S68-S69
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
Osteoporosis international. 2017 Feb; 28(2):719-725
IEEE circuits & systems magazine. 2017; 17(1):33-50
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). p.481-484. (2734702)