捆绑SM社区

Event

HBHL Trainee Get-Together: February 2022

Friday, February 25, 2022 05:30to07:00

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This month, the HBHL Trainees are excited to feature keynote speaker Dr. Yasser Iturria-Medina, Assistant Professor in the Department of Neurology and Neurosurgery and associate member of the Ludmer Centre for Neuroinformatics and Mental Health and the McConnell Brain Imaging Centre.

Two HBHL Fellows will also present their research: Refilwe Mpai (MSc trainee, Naguib Mechawar's lab) and Quadri Adewale (PhD trainee, Yasser Iturria-Medina's lab).

HBHL is dedicated to providing inclusive, accessible and harassment-free events. By participating, you are agreeing to abide by our Code of Conduct.


Keynote speaker

Headshot of Yasser Iturria-Medina

Yasser Iturria-Medina

Multiscale Brain Models for Understanding Disease Mechanisms and Treatment Needs in Neurology

Yasser Iturria-Medina is an Assistant Professor in the Department of Neurology and Neurosurgery. He is also an associate member of the Ludmer Centre for Neuroinformatics and Mental Health and the McConnell Brain Imaging Centre.

Trainee Speakers

Refilwe Mpai

Headshot of Refilwe Mpai

A characterization of perineuronal nets in the human cerebellum: are these structures impacted by child abuse?

Refilwe is a current MSc student in Neuroscience where she examines perineuronal nets, their role in neuroplasticity, and how they may be implicated in depression and child abuse. She is particularly interested in the long-lasting effects of childhood adversity on the brain. She holds a BA in Psychology from 捆绑SM社区. Outside of research, Refilwe is a podcast host on Journey Abroad, a show highlighting Africans studying and living abroad.

Quadri Adewale

Headshot of Quadri Adewale

Multiscale interactions between neuroimaging signals and gene expression in aging and Alzheimer鈥檚 disease

Quadri holds a BSc in electrical and electronic engineering from the university of Ibadan, Nigeria. He obtained his master鈥檚 degree in advanced control and systems engineering from the University of Sheffield, UK where he developed a brain-computer interface for monitoring workload levels in safety-critical environments. He is currently in his fourth year (starting from 2022) of PhD in neuroscience. He is interested in applying mathematical models and control engineering principles to combine multiscale brain modalities to study neurodegenerative diseases.

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