Meet the Team

The Graham Lab consists of people with diverse science and engineering backgrounds.

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Fred Tam
Fred is the Lab Manager who deals with resource management and various neuroimaging projects. He is involved in many projects in the lab, mostly in technical development and analysis. He works with the tablet and other fMRI device development.
Fred can be reached at
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Marina Silic
Marina is a Medical Biophysics Master\'s student at UofT. Marina\'s background is in Mechatronic Systems engineering and within the lab, her thesis is focused on the collection of head motion data in MRI for the purpose of motion correction. Firstly, Marina is collecting ground truth motion data by fabricating and verifying the performance of a custom optical fiducial marker. Secondly, she will use these ground truth data to train an artificial intelligence (AI) model to track head motion in the absence of the marker. These motion data can be used to characterize head motion, validate other MR motion correction methods, and perform retrospective motion correction. Marina can be reached
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Jason Rock
Jason is a Master’s student co-supervised by Dr. Simon Graham and Dr. Jamie Near, working on the development of parallel radio-frequency transmission (pTx) MRI hardware for whole brain slice magnetic resonance spectroscopic imaging (MRSI). MRSI can be used to study neurological diseases such as Alzheimer’s (AD), Multiple Sclerosis, and ALS. In Dr. Near’s lab, Jason is focusing mainly on AD, with recent work starting in ALS. Jason recently completed his Bachelor’s of Science in physics at UofT with a focus in experimental nuclear and particle physics, and he is interested in pursuing a clinical medical physics role in nuclear medicine or radiation therapy post graduation.
Jason can be reached at
Lorelie Lacson
Lorelie is Dr. Graham\'s Administrative Assistant, providing support for the Graham Neuroimaging Lab.
Lorelie can be reached at for inquires such as recruitment, information about the lab, and more.
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Maryam Arianpouya 
Maryam is a PhD student who joined the lab in 2020 after completing her MSc degree in Medical Physics at Macquarie University of Sydney, Australia. Maryam is interested in studying Parallel Radiofrequency Transmission (pTx) for safe MRI of patients with deep brain stimulation (DBS) implants. Her project investigates the use of the pTx approach to suppress localized heating effects arising from the interaction between the MR environment and DBS implants while maintaining adequate spatial homogeneity of the transmission magnetic field.
Maryam can be reached at
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Alena Ionova
Alena is a Summer Student from Queen\'s University. She is pursuing her BSc in Life Sciences with a minor in Computer Sciences. Her current focus in the lab is on data collection/analysis for various neuropsychological projects and helping with Marina\'s head motion Master\'s project. Alena will be piloting a future study in the lab.
Alena can be reached at
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Sean Rose
Sean is a Co-op Student pursuing his BASc in Biomedical Engineering from the University of Waterloo. He was hired with the focus on comprehensive data analysis (fMRI, eye tracking, and tablet kinematic data), but he has since taken on the Research Assistant position as well. Sean is the lead coordinator for three different neuropsychological studies performed using the fMRI compatible tablet.
Sean can be reached at
Study inquiries can be directed to
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Ben Yang
Ben is a Research Engineer with the Graham Neuroimaging Lab. He works on the Deep Brain Stimulation (DBS) project as well as the parallel radiofrequency transmission (pTx) project. You can find out more about these experiments under our \'Projects\' tab.
Ben can be reached at
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Felix Menze
Felix is a PhD student at the Department of Medical Biophysics. He completed his MSc and BA in physical natural sciences with specialization in medical imaging and cross-scanner image harmonization. Further professional research includes the development of firmware and technology to protect marine mammals from naval vessel noise as well as multiple projects on using machine learning to analyze underwater-radiated soundwaves. He currently researches the use of VR technology and neuroimaging, in particular driving simulation to characterize driving performance in the context of aging, with the goal of eventually improving governmental regulations of fitness to drive.
Felix can be reached at
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Maryam Akhshi
Maryam is a neuroscience PhD student at UofT. She completed her MSc in clinical psychology and her BSc in computer engineering. She is interested in working with clinical as well as healthy population in the field of cognitive neuroscience. She makes use of ML algorithms and neural networks analysis to study cognition, with a specific focus on the neural connections. In her future project, she will be focusing on the biomarkers of MCI and dementia through analysis of various genetic and neuroimaging data.
Maryam can be reached at

Alumni

Previous members, staff, and students from the Graham Lab

  • Alexandra Pavel, M.Sc. (Neuroscience), Research Assistant and NeuroCovid19 Study Coordinator
  • Curtis Fung, B.Sc. (Psychology), Data Collection Co-op
  • Irene Ma, B.Sc., NeuroCovid19 and Functional Magnetic Resonance Imaging of Neuropsychological Tests
  • Yuhan Zhang, BMath., Pulse Sequence Programming, Correction for Head Motion during fMRI
  • Shirley Lin, BASc., NeuroCovid19 and Functional Magnetic Resonance Imaging of Neuropsychological Tests
  • Francis Fernandes, B.Sc., NeuroCovid19 and Functional Magnetic Resonance Imaging of Neuropsychological Tests
  • Ainsley Durnin, B.Sc., NeuroCovid19 and Functional Magnetic Resonance Imaging of Neuropsychological Tests
  • Amanda Johnson, B.A.Sc., PTx RF System Safety Monitor and RF Power Sensor
  • Madeline Chiang, B.Sc., NeuroCovid19 and Functional Magnetic Resonance Imaging of Neuropsychological Tests
  • Yumna Khan, B.Tech., Correction for Head Motion during fMRI
  • Mitchel Morrison, B.Sc., NeuroCovid19 Contrast Uptake Subtraction Imaging Analysis
  • Finn O\'Hara, B.A.Sc., NeuroCovid19 Dynamic Susceptibility Contrast Imaging Analysis
  • Zhongmin Lin, M.Sc., Functional Magnetic Resonance Imaging of Neuropsychological Tests
  • Aravinthan Jegatheesan, Postdoc, Analysis of MRI Data in the NeuroCOVID-19 Project
  • Nicole Yuen, M.Sc., Understanding How Disorders of the Brain Affect Driving Abilities: An fMRI Driving-Simulator Study
  • Pei-Shan Wei, Postdoc, Parallel Radiofrequency Transmission
  • Clare McElcheran, Postdoc, Parallel Radiofrequency Transmission, Ph.D., Parallel RF Transmission
  • Zahra Faraji-Dana, Postdoc, Correction for head motion during fMRI, Ph.D., Real-Time Motion Correction
  • Sanam Ali, M.Sc., Preoperative fMRI of Brain Cancer
  • Alma Bardon, Postdoc, Neurofeedback with EEG
  • Melanie Morrison, Ph.D., Pre-surgical fMRI of Brain Tumours
  • Karl Landheer, Ph.D., MR Spectroscopy Methods
  • Norman Weir, M.Sc., Use of Microbubble Contrast Agents in MRI
  • Mahta Karimpoor, Ph.D., Tablet Technology for Assessing Dementia
  • Lalah Golestani Rad, Postdoc, Bioelectromagnetic Modeling
  • David Rotenberg, M.Sc., Real-Time Correction by Optical Tracking with Integrated Geometric Distortion Correction for Reducing Motion Artifacts in fMRI
  • Mark Chiew, Ph.D., fMRI for Neurofeedback
  • Shawn Ranieri, M.Sc., Simulator Training to Reduce Head Motion during fMRI
  • Ryan Cassidy, Postdoc, Multivariate fMRI analysis of spatial navigation tasks
  • Michael Marxen, Postdoc, fMRI and MEG Studies of Human Somatosensory Cortex
  • Audrey Kuo, M.Sc. Real-time fMRI from a single voxel
  • Sarah Yancey, M.Sc. Real-time motion correction for fMRI
  • Brad MacIntosh, Ph.D., fMRI of Sensorimotor Tasks involving the Lower Limb
  • Peter Soros, Postdoc, fMRI of speech articulation
  • Cathy Nangini, Ph.D., fMRI Studies of the Somatosensory Cortex
  • Lisa Di Diodato, M.Sc., fMRI-Compatible Data Glove with Force Feedback
  • Marleine Tremblay, M.Sc., External Monitoring to Correct Head Motion during fMRI
  • Emily Seto, M.Sc., Quantifying Head Motion during fMRI Motor Tasks