MD, PhD, FRCSC
He is currently the Director of the Surgical Epilepsy Program at the Krembil Brain Institute, a Scientist at the Krembil Research Institute, and has a cross-appointment at the Institute of Biomaterials and Biomedical Engineering. His neurosurgical staff appointment is at the Toronto Western Hospital, and he is currently Associate Professor of Neurosurgery at the University of Toronto.
Research Technical Assistant
Victoria is a Research Technical Assistant and serves as liaison between Dr. Valiante's trainees, collaborators, EMU staff clinicians and research candidates. Specifically, she works with patients who are eligible to participate in electrocorticographic (ECoG) studies. She is also responsible for clinical data collection and post-operative reconstructions.
Email - Victoria.Barkley@uhnresearch.ca
Anett is manager of The Neuron to Brain Laboratory and helps coordinating day-to-day life. She is a Behavioural Neuroscientist and enjoys the lab environment, making it her passion to support other researchers in their career. She assists with inquiries regarding open positions, collaborations and technical support, and provides guidance for lab internal processes and members of the lab.
Email - Anett.Schumacher@uhnresearch.ca
Associates and Fellows
David is a clinical neuroscientist/data scientist trying to develop ways to mine the vast amounts of data acquired from epilepsy surgery candidates to improve epilepsy therapies and our understanding of the functional organization of the human brain.
Email - David.Groppe@uhnresearch.ca
Homeira investigates the impact of intrinsic cellular properties of human cortical neurons on network activity in cortical slices obtained from neurosurgical procedures. Her work focuses on the role of electrophysiological properties of single neurons in generating electrical oscillations in the brain, and using these data to build a human cell model through a collaboration with Dr. Francis Skinner. To perform these experiments, she uses in vivo and in vitro electrophysiology, including patch clamp techniques and local field potential recordings. In addition, she uses 3D image reconstruction of neurons using immunohistochemistry and CLARITY.
Email - Homeira.Moradi@uhnresearch.ca
Andrea Gómez Palacio
Andrea’s previous research has focused on performing in the large-scale recordings in several animal models to investigate neuronal interactions that underlie plastic states. One of her main interests is to understand how brain stimulation modifies these interactions in order to use it as a rehabilitation tool.
Her current research focuses on performing and analysing single-unit activity in Individuals with medically-intractable epilepsy. Such studies pose a unique opportunity to answer questions related to the neuronal mechanisms involved in human cognitive processing.
Email - Andrea.Schjetan@uhnresearch.ca
Marjan works at the intersection of engineering, neuroscience, and using music to provide a therapeutic option for individuals with Epilepsy. She is interested in reducing the seizure frequency in individuals with epilepsy by listening to music, and improving her understanding on how the brain activity of individuals with epilepsy changes by listening to music. She has been leading the related research line in the lab since 2016 by running different aspects of a clinical research study on this topic including the study design and coordination, participants’ enrolment, data collection, and analyzing the acquired data.
Marjan got her Master of Engineering (MEng) and PhD in Chemical Engineering from University of Birmingham in England. She changed her research field afterwards to the exciting world of neurobiology and neuroscience through an opportunity created by a collaboration between Dr. Frances Skinner and Dr. Taufik Valiante in 2015, which she will be always grateful for. She believes she is a neuroscientist and considers herself fortunate to be able to use her skills and research interests to have a meaningful impact on individuals’ lives.
Email - Marjan.Rafiee@uhnresearch.ca
Azadeh received her Ph.D. in Biomedical Engineering from the University of Montreal and joined the Neuron to Brain lab as a Postdoctoral Research Fellow in March 2018. She has been working on different subjects, including “single-neuron studies of learning, memory, and decision making in human” and “assisting optogenetics experiments using silicon neural nanoprobes”, and is currently exploring the mechanisms of brain neuromodulation by electrical stimulation.
Azadeh is trying to understand how neuromodulation exactly affects the excitability of neuronal networks by stimulating and recording from mice brain slices using Multi-Electrode Arrays (MEAs). She investigates how electrical stimulation affects the excitability of neural tissue, and how these stimulation approaches may be improved towards greater therapeutic benefit.
Email - Azadeh.Naderian@uhnresearch.ca
Scott received his Ph.D in Applied and Interdisciplinary Mathematics from the University of Michigan, and performs his postdoctoral research under the co-supervision of Dr. Valiante and Dr. Frances Skinner. His work aims to use computational tools to mechanistically describe the sometimes paradoxical pathways to seizure. The discovery of such mechanisms has the potential to uncover not only novel experimentally testable hypotheses to improve our understanding of seizure initiation, but also novel targets for clinical intervention to minimize or prevent seizure in patients with epilepsy.
This work takes place at both a micro-scale, where he works to create detailed computational models of human neurons utilizing electrophysiological data from the Neuron to Brain team, and at a macro-scale, in which he investigates how seizure might arise in computational neural networks.
Email - Scott.Rich@uhnresearch.ca
Omid received his PhD in Electrical and Computer Engineering from the University of Toronto. His earlier research aimed at Brain Computer Interface, coordinated activity between motor cortex and basal ganglia in individuals with Parkinson's disease, and modification of neural activity through micro-stimulation of brain structures. His current work aims to uncover neural mechanisms of memory formation and memory recall in primates. The discovery of such mechanisms leads to methods interacting with memory system; with traumatic potentials for individuals suffering from neurological deficiencies such as amnesia, Alzheimer's disease, as well as post-traumatic stress disorder (PTSD).
Email - Omid.Talakoub@uhnresearch.ca
Michael works on optogenetic activation of interneurons triggers electrographic seizures in in vitro and in vivo seizure models.
Email - Michael.firstname.lastname@example.org
Chaim is interested in what makes people unique, by specifically looking at the brain. His project involves using technology to investigate activity of the brain associated with memory and using clinical technology to modify performance and brain activity in recall and associative memory tasks.
Email - Chaim.email@example.com
Sara works on characterizing human cortical cell types by extracellular features and spatial distribution on the cortical layers to produce a probabilistic map of cell types and connectivity across the layers. Single unit recording of human cortical slices is done in vitro using multi electrode array technology.
Email - firstname.lastname@example.org
Gerard is researching neuroelectronics at the interface between digital and biological systems. This includes the design of silicon chips which use machine learning to understand neural activity and respond using electrical neuromodulation waveforms. When he's not in the lab, he's probably running, swimming or biking.
Email - email@example.com
Kramay works on developing novel neurofeedback protocols to investigate skill learning in mesial temporal lobe structures. This type of skill learning can potentially be used to probe underlying circuitry in the mesial temporal lobe structures (which is largely responsible for memory encoding, and often involved in generating seizures) in a safe and highly precise manner.
Email - Kramay.firstname.lastname@example.org
Daniele is a third-year graduate student at the University of Lugano, Switzerland. He researches graph neural networks and their applications to systems that change over time. Currently, he is working on the prediction and localization of epileptic seizures from iEEG data using graph attentional mechanisms.
Email - email@example.com
Ali is a fourth year Engineering Science undergraduate student working on a new class of Maximum Entropy models to extract connectivity estimates from neural signals. He uses mathematical frameworks from statistical physics to model populations of neurons. Working with the Fujitsu Co-Creation Laboratory, he implements computational methods to apply these frameworks to neural signals and estimate their connectivity. Outside the lab, you can find him playing the tenor sax for the UofT Engineering jazz band.
Email - firstname.lastname@example.org
Masoumeh Seghatoleslam (2016-2018)
Masoumeh worked on Intraoprative optical characterization of brain tumor tissues. The objective of this study was to investigate the use of Raman spectroscopy (RS) and Polarization Sensitive Optical Coherence Tomography (PS-OCT) to distinguish tumor from healthy tissues intraoperatively and to achieve maximal extent of resection (EOR) and minimize damage to adjacent healthy brain tissues in brain tumor resection.
Sumayya Mehmood (2015-2017)
Sumayya worked on optimizing the benefits of epilepsy surgery using a mixed methods approach. In order to improve post-operative quality of life, she was collecting data in order to create and test the effectiveness of a pre-surgical counselling intervention.
Phase 1: A qualitative and quantitative environmental scan of post-surgical epilepsy patients.
Phase 2: Using the environmental scan to create a counselling intervention and perform a randomized control trial to test it out.
Wilfred Cho (2015-2017)
Wilfred worked on prediction, early detection and abortion of seizure events in human in a clinical trial. His stream of focus included:
1. Algorithmic design of seizure prediction and early detection using signal processing and machine learning techniques in real-time environment.
2. Investigate possibility of seizure abortion during pre-ictal state and early state of ictal event.
3. Integration of clinical platform and research platform (Hardware, Software and Database).
Summer Students And Volunteers
Aditya Saigal (2019)
Adam Gierlach (2019)
Aidan (AJ) Perez-Ignacio (2019-2020)
Bipasha Goyal (2019)
Nizar Islah (2019)
Shounak Sural (2019)
Shujian Qian (2019)
Young Seok Seo (2019)
Adam Gierlach (2018)
Alexandra Santos (2018)
Bushra Shehzad (2017-2018)
Dana Kokoska (2018)
Dorsa Zabihipour (2018)
Farhad Yusufali (2018)
Francis Kang (2018)
Jamie Koerner (2018)
Sonali Dey (2018)
Ali Haydaroglu (2017-2019)
Farhan Wadia (2017)
Kramay Patel (2017)
Laura Bickley (2016-2017)
Shahryar Rajabzadeh (2017)
Ted/Yin Tai Huang (2017)
Veronica/Ya Li (2017)