People

Current Members


Dr. John David Griffiths

Group Lead

John Griffiths

Dr. John D. Griffiths is a cognitive and computational neuroscientist based at the Toronto Centre for Addiction and Mental Health (CAMH)’s Krembil Centre for Neuroinformatics (KCNI; krembilneuroinformatics.ca), where he leads a research team focused on computational modelling of brain network dynamics, neurostimulation, and multimodal neuroimaging data (www.grifflab.com). He is an Assistant Professor in the University of Toronto Departments of Psychiatry, Medical Sciences, and Biomedical Engineering. Originally hailing from North-West England, Dr. Griffiths completed his PhD at the University of Cambridge, where he worked on structural and functional neuroimaging of language comprehension and its impairment in ageing and stroke. Prior to this, he completed his undergraduate training in psychology, philosophy, and cognitive neuroscience at the Universities of Warwick and York, UK. Subsequently, he worked as a post-doctoral fellow in the groups of Peter Robinson (University of Sydney School of Physics), Randy McIntosh (Rotman Research Institute) and Jeremie Lefebvre (Toronto Western Hospital). During this time he conducted research and developed core expertise in multimodal neuroimaging and macro connectomics, neurophysiological modelling and numerical simulations, neural field theory, and noninvasive neuromodulation. He also was an early contributor to the The Virtual Brain (TVB) software library and research consortium. Dr. Griffiths joined the CAMH KCNI as a PI and head of Whole-Brain Modelling in 2019, where he leads a multidisciplinary team of engineers, physicists, mathematicians, biologists, and psychologists, working on endogenous oscillations and neurophysiology of noninvasive brain stimulation. The theory-based work of the group is complemented by novel EEG, fNIRS, TMS, and MRI experiments in healthy and patient populations.


Minarose Ismail

PhD Student

Minarose Ismail

Minarose is a PhD student in the Department of Physiology at the University of Toronto, based in Neurosciences & Mental Health at The Hospital for Sick Children. She first joined the lab as a summer research student in 2019. Her research uses personalized whole-brain neurophysiological models of MEG data to study how language lateralization develops in children and adolescents.


Yupeng Tian

Post-Doctoral Fellow

Yupeng Tian

Yupeng is a postdoctoral fellow affiliated with the University of Toronto Department of Mathematics, the Fields Institute for Research in Mathematical Sciences (as a Program Postdoctoral Fellow in the Thematic Program on the Mathematics of Neuroscience), and the Krembil Centre for Neuroinformatics. Yupeng’s research develops mathematical models of calcium-dependent synaptic plasticity to explain and predict the effects of non-invasive brain stimulation, including transcranial magnetic stimulation (TMS) and transcranial focused ultrasound. Before joining the lab, Yupeng worked on computational models of thalamic deep brain stimulation in Dr. Milad Lankarany’s lab.


Dr. Mohamed Abdelhack

Post-Doctoral Fellow

Mohamed Abdelhack

Mohamed is a postdoctoral fellow at the Krembil Centre for Neuroinformatics, CAMH, who trained at Kyoto University. Mohamed’s research applies large-scale statistics, machine learning, and computational modelling to neuroimaging data to understand mental health and psychiatric disorders, including work on the brain signatures of sleep, depression, and cognition in over 30,000 individuals. Mohamed founded Arabs in Neuroscience, has mentored at Neuromatch Academy and the Imbizo computational neuroscience summer school, and received The Neuro’s Open Science Prize for international trainees for this mentoring work.


Jusleen Kaur Mehta


Alumni

  • Dr. Davide Momi (Post-Doctoral Fellow, 2021–2025)
  • Dr. Neda Kaboodvand (Post-Doctoral Fellow, 2020–2021)
  • Dr. Sorenza Bastiaens (Ph.D. Student, 2021–2025)
  • Dr. Kevin Kadak (Ph.D. Student, 2020–2025)
  • Dr. Shreyas Harita (Ph.D. Student, 2019–2024)
  • Taha Morshedzadeh (M.Sc. Student, 2021–2024)
  • Parsa Oveisi (M.A.Sc. Student, 2022–2024)
  • Andrew Clappison (M.Sc. Student, 2021–2023)
  • Frank Mazza (M.Sc. Student, 2019–2021)
  • Surya Pandiaraju (Co-op Student, 2020–2021)