Pascal Tyrrell PhD is a data scientist—a combination of research methodologist, computer/database solutions architect and innovator. He received his PhD in medical sciences from the University of Toronto working in the area of pediatric rheumatology at SickKids (Toronto, ON). Currently, he is the Director of Data Science and Associate Professor with the Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto where he is also the founding director of the MiDATA Data Science program. Pascal is cross appointed to the Institute of Medical Science and the Department of Statistical Sciences where his research aims to introduce statistically sound and innovative Artificial Intelligence and Machine Learning approaches to the study of medical images in health-related outcomes research. Pascal has previous work experience in the computer, financial, and medical device industries, and is the CEO and co-founder of the software startup company SofTx Innovations Inc.
Current Students (mouse over for descriptions)
Atsuhiro Hibi (PhD candidate, Institute of Medical Science, UofT)Atsuhiro is a PhD student at the Institute of Medical Science specializing in computer vision applicable to both medical and manufacturing industries. His research focuses on AI-assisted CT assessment applicable to traumatic brain injury.
Rosa Fallahpour (PhD candidate, Department of Statistical Sciences, UofT)Rosa has a BSc in Electrical Engineering from Shahid Beheshti University (SBU), Tehran, Iran and a MSc in Applied Mathematics from Wilfrid Laurier University, Waterloo.
Ernest Namdar (Machine Learning, TA for Biostatistics in a Nutshell, Volunteer TA for AI in Medicine)Ernest is pursuing his Ph.D. in Medical Science at the University of Toronto and a Machine Learning (ML) researcher at the SickKids Hospital Research Institute. His projects are focused on the intersection of Artificial Intelligence (AI) and Medical Imaging. Ernest’s recent research is on pediatric brain cancer, where he aims to enhance diagnosis and treatment planning.
James Hong (PhD, Postdoc with Dr. Fehlings, Guest Lecturer)Dr. James Hong is a post-doctoral fellow at the Fehlings laboratory at the Krembil Research Institute, Toronto Western Hospital. His doctoral thesis focused on the transcriptomic profiling of traumatic spinal cord injury. He is the author of 21 peer-reviewed articles in the field, and currently works on the development of cellular and non-invasive therapies for degenerative cervical myelopathy and traumatic cervical spinal cord injury. He has a strong interest in applied AI and machine learning in the context of transcriptomic analysis and is passionate about higher education. He currently works with Dr. Tyrrell on the delivery of the AI in medicine course and machine learning module at the University of Toronto.
Tristal Li (MSc Statistics, TA for Biostatistics in a Nutshell + MiVIP volunteer)Tristal is a statistics BSc from UofT and MSc from Carnegie Mellon University.
International Undergraduate Student Internship
Parth Manchanda (Electrical Engineering Undergraduate, International student, Indian Institute of Technology, Delhi (IITD))Parth is a final year undergraduate at IITD with his research interests lying at the crossroads of Machine Learning and it’s application in the field of medicine. Currently he aims to diagnose the behaviour of patients post an Acquired Brain Injury via an AI chatbot, hence the name being ABI 🙂SangeetChourasia (Electrical Engineering Undergraduate, International student, Indian Institute of Technology, Delhi (IITD))
Siddhesh is a materials science engineering B.Tech student at the Indian Institute of Technology, Indore. His research interests are in artificial intelligence and machine learning.Siddhesh Shelke (Material Science International student, Indian Institute of Technology, Indore)Sangeet is an undergraduate student in his final year at IITD. His research focuses on electrical engineering methodologies and machine learning with an emphasis on medical applications.Thiru Siddharth (Computer science, International student, Indian Institute of Information of Technology, Bhopal)Thiru is interested In AI, IOT, Bioinformatics, medicine and ML. Thiru is working on a medical chatbot platform.
Alice Zhang (Undergraduate UofT)Alice is a third year student specializing in Statistics and minoring in Math and Biology. She is interested in AI and applications of statistics in medical sciences.Christine Wang (Undergraduate UofT)Christine is a thrid year student specializing in statistical science, with a focus on cognitive psychology. She has a strong interest in applying statistical methods to the medical imaging field.
Yash Ramani (Undergraduate UofT)Yash Ramani is a 3rd year undergraduate student doing a CS specialist and Math major.
Yini Mao (Undergraduate UofT, STA497 student)Yini is a fourth-year student taking Statistics and Economics double majors and a Mathematics minor. She’s interested in data science and the application of machine learning in the medical field.
Aaron White (Undergraduate UofT)
Jielin Yang (Undergraduate UofT)
Andrew Magnuson (MiVIP, Undergraduate UofT) Andrew is a UofT Engineering Science student and an active lab member assisting in the imperfect-gold-standard project.
Afsaneh AmirabadiAfsaneh Amirabadi (PhD, MCCPM) is a medical physicist with MRI sub-speciality. She works at SickKids' hospital, Diagnostic Imaging Department, as a Clinical Research Project Manager. Afsaneh joined the MiDATA statistic group as a volunteer since 2017.
Dev Shah (Undergraduate UofT)Dev Shah is an undergraduate student at UofT pursuing to specialize in Computer Science. He has deep research interest in Machine Learning and its intersection with medicine, more specifically, medical imaging.Donna Mofidi (Undergraduate, Western University)Donna is a third year medical student at Schulich School of Medicine (Western). She will be working on the Braincare.ai project, a software product that supports continued care management for patients with acquired brain injury (ABI). She has a strong interest in diagnostic imaging and a budding interest in artificial intelligence.
Khosrow Khodabandehlou (MiVIP, Undergraduate, York University)
Michael Atalla (BSc, University of Waterloo)Michael is a volunteer who has hopes of specializing in radiology. Michael’s research interests are in Artificial Intelligence and Augmented Reality.Rui Zhu (MiVIP, Undergraduate UofT)Rui is a fourth-year student and is completing a computer science specialist. Rui was a ROP student, working on imperfect gold standard project.Shruthi Sundararaman (Undergraduate, Western University)Shruthi is a 4th year student doing a specialization in Physiology with a major Computer Science and is currently a volunteer in the lab.
Tong Su (MiVIP, Undergraduate UofT)
Tony Wang (ML Engineering Student Intern)
Will Wu (MiVIP, Undergraduate UofT)Will is a third year student specializing in Statistics and minor in Computer Science. Will is a ROP student working on quantifying domain shift.
Bita Behrouzi (MD, Internal medicine medical resident, Boston, USA)
Felipe Castillo (Medical Imaging fellow, UofT 2023)
Daniel Eftekhari (MSc, IBBME UofT) During his graduate studies, Daniel developed a machine learning algorithm for robust segmentation of heterogeneous medical images, and a novel approach for classifying high-dimensional medical images based on learned image similarities.
Gabriel Solana (PhD candidate Visiting International student, Universidad de las Américas Puebla, Mexico)Gabriel is a PhD candidate that specializes in signal processing and Machine Learning. His research consists of detecting Parkinson's disease through voice recordings and structural and functional MRI analysis. He is interested in explainable AI, biomedical engineering, and image processing. He will be presenting his doctoral defense in May, 2023.
Mauro Mendez (MSc candidate, Institute of Medical Science, UofT )Mauro Mendez is a MSc student at the Institute of Medical Science. His thesis focused on the use of artificially simulated images to improve in the detection of rare diseases. Mauro has a strong interest in the development and deployment of clinical AI-driven solutions for real healthcare problems. As part of Dr. Tyrrell's, Mauro has been involved in 9 publications related to AI in Medicine.
Rajshree Daulatabad(MSc, Mitacs York University) Rajshree is a Masters student specializing in Machine Learning and Deep Learning for Medical Imaging.
Dmitrii PaniukovDimitrii has a Ph.D. in Experimental Psychology. During his time with the lab, he has been working on creating an AI-driven solution to guide and educate ultrasound users on how to perform the scan. Currently, Dmitrii works as an entrepreneur applying his expertise in cognition and AI in educational projects.
Majid Jaberipour Majid is currently a Post-Doctoral Fellow under the supervision of Dr. Pascal Tyrrell at the department of Medical imaging, Temerty Faculty of Medicine, University of Toronto. He is currently working on Deep learning approaches for ultrasound guidance navigation. His main focus is in designing novel methodologies in Deep learning with a focus on medical imaging and computer vision. He also is a guest lecturer in the AI in Medicine course at University of Toronto. Before joining University of Toronto, he has been a Post-Doctoral Fellow at Sunnybrook Health Sciences Centre and UBC. His goal is to design practical computational AI algorithms to improve the quality of human life. He was asked to give talks in different universities in Canada. His work has received over 500 citations.
Chantelle LinChantelle is specializing in fundamental genetics and biotechnology, and minoring in biology at the University of Toronto. She was previously a work study student for the lab.
Jean LiJean is majoring in computer science and genetics at the University of Toronto and was previously a work study student for the lab.
Jennie Fang Jennie is specializing in Pharmacology and minoring in Computer Science at the University of Toronto. She is currently a work study student for the lab.
Minji (Jinny) Kim
Vijairam MurugathasVijairam is pursuing a double major in Neuroscience and Psychology at the University of Toronto, and is currently a work study student for the lab.
Yunni Qu Yunni is specializing in Data Science at the University of Toronto and is currently a work study student for the lab.
Adam Adli Adam was a previous ROP student but is now a Computer Science graduate holding an H.B.Sc. He is currently working as software engineer at Intel.
Guanjie(Jacky) WangJacky is pursuing an undergraduate degree in computer science at the University of Toronto. Entering as an ROP399 student for Fall/Winter 2021, he was researching sample size effect with dimension reduction under the ill-posed problem. Currently, he is taking a position as a DevOps developer for the IBM DB2 database through the PEY program. He is aiming to combine his knowledge in computer science with data science and machine learning.
Hao Yue (Helena) Lan
Irene Fang Irene is pursuing a double major in Human Biology and Immunology. She was an ROP student who enjoys playing the piano in her free time.
Jacqueline Seal Jacqueline is entering her second year at U of T, majoring in Computer Science and specializing in Bioinformatics and Computational Biology. She was an ROP student for the Summer 2021 term. In her free time, she enjoys hiking and listening to podcasts.
Jessica Jia-Ni XuJessica is entering her third year, majoring in Biochemistry and specializing in Statistics. She was an ROP student for the 2020-2021 school year and her goal is to pursue a Master's after graduation. In her free time, Jessica likes to watch cute dog videos and play Overcooked!
Jun Ni (Jenny) DuJenny is specializing in Bioinformatics and majoring in Computer Science at the University of Toronto. She was a ROP student for the 2020-2021 school year.
Nana Ye Nana is an undergraduate student specializing in statistical science and majoring in cognitive science. Her ROP project focused on analyzing the effect of attention gates in segmentation models.
Parinita Edke Parinita is an undergraduate student going into her third year at UofT. She is pursuing a specialist in Computer Science with a focus in AI/ML and a minor in Statistics. Entering as an ROP student for the upcoming 2020-2021 year, she is excited to explore and research ways in which machine learning can help improve healthcare practices. Outside of academics, Parinita enjoys baking and swimming in her free time.
Qianyu Fan Qianyu is entering 2nd year who is specializing in Statistics and majoring in Economics. She joins as an ROP student for the 2021-2022 school year. She enjoys calligraphy in her free time.
Stanley Bryan HuaStanley is an undergraduate in the BCB program, and he completed an ROP299 with Pascal in the Fall/Winter 2020-21. Currently, he's doing a summer project with the Moses lab, while contributing to existing projects in the Tyrrell lab. In the future, he hopes to become a data scientist and business owner in the healthcare industry.
Wendi Qu Wendi is an undergraduate student going into her third year at U of T double majoring in Molecular Genetics and Statistics. She is an ROP student for the upcoming 2018-2019 fall/winter. Currently, Wendi is doing epidemiology research on kidney transplant recipients in Toronto General Hospital as a continuation of her ROP299. She is very interested in exploring and researching on how machine learning can help improve healthcare practices. Wendi enjoys sketching and swimming in her free time.
Diana EscobozaDiana graduated in 2022 with a BASc in engineering. For the ESC499 undergraduate thesis course, she worked on a project that consisted of training an algorithm to identify/detect the anatomical landmarks on ultrasounds for the elbow, knee, and ankle joints.
Hanzi Jiang Hanzi Jiang is a fourth-year student studying Computer Science (AI focus) and Statistics. She is interested in the intersection of ML and medical imaging, and would like to put all of the things she has learned at school into practice.
Irene Yingxuan Niu Irene is in her 4th year, specializing in Applied Mathematics and majoring in Statistics. Upon joining the group, she is looking forward to exploring the use of machine learning techniques in the medical field and learning from her peers.
Mohamed Nashnoush (AMGEN Scholar)
Paul TangPaul Tang is a 3rd year undergraduate student specializing in computer science and majoring in cognitive science
Saifei Liao Saifei Liao is currently a second year student studying in statistics and maths, interested in data science research and wants to combine the methodologies learned at school into practice.
Amar Dholakia Amar has spent 2 years at the Tyrrell Lab, one as a work-study student, and another as an independent research student. As a work-study student, he helped maintain, update, and query the Faculty of Medical Imaging's personnel database. His research investigated the viability of using clustering methods to assess the effects of dataset heterogeneity on convolutional neural network performance. Amar will be starting his MSc in Biostatistics at UofT in the Fall of 2020.
Indranil Balki Indranil was an ROP and independent study student.
Lee Radigan Lee’s role at the lab in applied statistical collaboration. His research interests are in biostatistics and medical imaging. Outside of the lab, Lee is an avid fan of the NBA and playing basketball!
Stephanie Wai-Shan Wang
Yiyum (Grace) Gu
Amber (Fengyan) Li
She is a 2nd year med student at UofT with an interest in AIML who plugs into the lab as a volunteer.Frozan Safi Emaan completed her Bachelor of Science in Bioinformatics at Virginia Commonwealth University in 2019. She is currently completing medical school at the University of Ottawa.
Guan Wang Guan a current thesis-based master from biostatistics
Henry LuHenry is a biostatistics PhD student at UofT with a focus in statistical genetics research.
Tina Binesha Marvasti
Yu Xian (Gordon) Wang
Ziming Chen Ziming Chen will become a graduate student in biostatistics at University of Toronto in fall of 2021.