Leadership – Dr. Pascal Tyrrell
Pascal Tyrrell is an accomplished data scientist and the Director of Data Science at the University of Toronto’s Department of Medical Imaging, within the Temerty Faculty of Medicine. His research focuses on applying cutting-edge Artificial Intelligence to medical image analysis, driving improved health outcomes globally. Additionally, Pascal is a serial entrepreneur with expertise in computer software, medical devices, and agri-tech.
Read more about Dr. Pascal Tyrrell
UofT researcher profile is here.
Current Students (mouse over for descriptions)
Postdoctoral
Graduate Students
TA/Staff
Work Study
Ravinya Athukoralage (Undergraduate UofT)
Undergraduate Research
Research Opportunity Program (ROP)
Shih-Hsin Chuang (FW ROP)
Chantelle is a student biostatistician working as a work study student. Currently, she is a PhD student in epidemiology at the Dalla Lana School of Public Health. Her thesis work will combine her interests in imaging, machine learning, and causal mediation to map out areas of pain in women with knee osteoarthritis.
Yi Cheng Zhao (FW ROP)
International Visiting Graduate Students (IVGS)
Namvar Nima (MSc student, UPEC)
Volunteer (MiVIP)
Anuja Mandavkar
Aryaman Bansal
Christine Lee (BAsc, University of Toronto)Christine is an undergraduate student in Engineering Science at University of Toronto. Her main passion lies in the field of biomedical engineering, with a growing interest in applying machine learning to medical imaging and diagnostics.
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.
Emma Blanchette
Khosrow Khodabandehlou (MiVIP, Undergraduate, York University)
Mike WangMy name is Zhuohang Wang, I am a fourth year undergraduate student studying Statistics and Actuarial Science at UofT, I am interested in the interaction of data science and medicine, so I joined the club to investigate this field.
Mohammad Safarzadeh
Shakur Shunbuli
Tony Wang (ML Engineering Student Intern)
Alumni
Graduate Students
Ahmed Sigiuk
Atsuhiro Hibi (PhD, Institute of Medical Science, UofT)Atsuhiro earned his PhD from 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. 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.
Rajshree Daulatabad (MSc, Mitacs York University) Rajshree is a Masters student specializing in Machine Learning and Deep Learning for Medical Imaging.
Postdoctoral
TA/Staff
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.
Work Study
Hershel Stark
Hibah Naviwala
Intesar Raisuddin
Jean LiJean is majoring in computer science and genetics at the University of Toronto and was previously a work study student for the lab.
Jielin Yang
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.
Juan Martinez
Meimei Fong
Minji (Jinny) Kim
Nadia Stec
Tinny Nguyen
Vijairam Murugathas Vijairam 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.
Zeneng Fan
ROP
Alana Man
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.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.
Adele Lauzon
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. Benedek Balla Benedek Balla is in his last year of undergraduate studies, he is studying Computer Science, with a primary interest in machine learning. His work with Dr. Tyrrell involves applying machine learning to overcome a significant challenge in medical imaging—the scarcity of medical imaging data—and to facilitate the development of better diagnostic tools for patients.
Clare Sheen
Daihao Wu Daniel Saragih Daniel Saragih is an undergraduate student at the University of Toronto, studying Computer Science and Mathematics. Over the past few years, he has been actively engaged in machine learning research, with a particular focus on generative models. Under the guidance of Dr. Tyrrell, Daniel has published a paper on the application of diffusion models for data augmentation in medical imaging. Currently, he is working at the Dunlap Institute for Astronomy & Astrophysics, where he is applying flow matching techniques for simulation-based inference of dark matter haloes.
Dianna McAllister
George Wang
Grace YuGrace is studying computer science at the University of Toronto. Her research interest broadly lies in developing computational and statistical methods for biomedicine.
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.
Janet Huang
Jayun Bae
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!
Jihong Huang
Jingyu Ye
Jeffrey Huang
Julia Robson
Jun Ni (Jenny) Du
Kevin Chen
Kiersten Thomas
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.
Linxi Chen
Manav Shah
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.
Rachel Jaffe Rishit DagliRishit Dagli is an undergraduate Computer Science student at The University of Toronto. He loves researching and working with Machine Learning, especially Computer Vision. Currently, he's working on vision models as a research scientist intern at Qualcomm. Coming from the software and robotics background, he contributes extensively to maintaining popular open-source projects like TensorFlow, PyTorch Foundation, Kubernetes, Kubeflow, PapersWithCode, freeCodeCamp among others. He also loves to build open-source projects (usually related to Kubernetes and Machine Learning), some of which have been quite popular and can be found on his GitHub. Rui ZhuRui Zhu has a Master of Science in Computer Science, with a focus on time series analysis in wearable data. During her undergraduate studies, she worked with Dr. Pascal Tyrrell, gaining valuable experience in robust learning on datasets with biased readers.
Qianyu (Rita) 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.
Samantha Santoro
Sean Chua
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.
Stella Song
Sylvia Urbanik
Tony Su
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.
Wenda Zhao
Yash Ramani (Undergraduate UofT)Yash Ramani is a 3rd year undergraduate student doing a CS specialist and Math major.
Yuzhi Tang
Yan Qing LeeYan Qing is an undergraduate student pursuing a double major in Computer Science and Psychology at the University of Toronto. She holds mixed interests in machine learning, healthcare and mental illness, and is particularly excited by prospects of how clinical applications of artificial intelligence can be utilized to improve human lives.Yihan Wang
Yuxi Zhu
T-CAIREM
Dhruv Patel (Medical Student, Queen’s University)
International Visiting Graduate Students (IVGS)
Lolita is a final-year undergraduate student in the Mathematics and IT engineering program in France. With a healthcare system. Lolita AboaLolita is a final-year undergraduate student in the Mathematics and IT Engineering program in France. With a keen interest in statistics, artificial intelligence, and data science, she is leading a groundbreaking project focused on enhancing breast cancer treatment in Costa Rica through advanced machine-learning techniques. This research seeks to evaluate the effectiveness of AI in prioritizing urgent patient care, optimizing its integration within the healthcare system, and assessing the impact of potential AI errors. The ambitious goal is to maximize resource utilization and elevate patient care, thereby contributing to a more efficient and effective healthcare system.
International Student Internship
Summer Undergraduate Research Program (SURP)
Yasmine Madan (Bachelor of Health Sciences Student, McMaster University)
Undergraduate Students
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.
Independent Studies
Aya Mahder-Bashi
Hanatu Tak
Indranil Balki Indranil was an ROP and independent study student.
Stephanie Wai-Shan Wang
Yang Zang
Yiyum (Grace) Gu
Reading Course
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.Volunteer (MiVIP)
Alameen Damer
Alex Rosen
Ali Geramy
Ali Rafieian
Amber (Fengyan) Li
Andrew Magnuson (MiVIP, Undergraduate UofT) Andrew is a UofT Engineering Science student and an active lab member assisting in the imperfect-gold-standard project.
Ariba Alam
Bita Behrouzi
Brandon Tetruck
Christine Lee
Daniella Manna
Danielle Arje
Emaan Chaudry
Ervin Ibadula
Faith Balshin
Fatma Eltawil
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.
Ginny Ting
Guan Wang Guan a current thesis-based master from biostatistics
Haoying Shen
Henry LuHenry is a biostatistics PhD student at UofT with a focus in statistical genetics research.
Hershel Stark
Hua Lu
Jason Zhu
Jialu Fu
Jiawei Gong
John Valen
Kuan Liu
Lehang Zhong
Lu Han
Mariam Afshin
Mauro Mendez
Michael Manno
Minh Dang
Neda Ghiam
Ori Weigner
Oscar Moody
Qiongbin Wang
Rashmi Kurup
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.
Rogers (Haochong) Yang
Ryan Shi
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.Stella Wang
Sylvia Li
Tanav Bajaj
Tianye Dou
Tina Binesha Marvasti
Tong Su (MiVIP, Undergraduate UofT)
Trevor Thang
Tristal Li
Usman Tarique
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.
Xiao Ou (Charles) He
Xueying Han
Yao Xi
Yuhang Wu
Yu Xian (Gordon) Wang
Ziming Chen Ziming Chen will become a graduate student in biostatistics at University of Toronto in fall of 2021.Trainees
Bita Behrouzi (MD, Internal medicine medical resident, Boston, USA)
Felipe Castillo (Medical Imaging fellow, UofT 2023)
YSP
Angela Lo
Elizabeth Lehner
Jenny Joo
Michelle Cheung
Rostam Rashidkhani
CREMS
Eli Lechtman