People

Leadership

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.

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Current Students (mouse over for descriptions)

Graduate Students

TA/Staff

Undergraduate Students

Mohamed Nashnoush (Amgen Scholar, Dalhousie University)

Siddhesh Shelke (Material Science International student, Indian Institute of Technology, Indore)

Volunteer

Shruthi Sundararaman (Undergraduate, Western University)Shruthi is a 3rd year student doing a double major in Physiology and Computer Science and is currently a volunteer in the lab.

Andrew Magnuson (MiVIP, Undergraduate UofT) Andrew is a UofT Engineering Science student and an active lab member assisting in the imperfect-gold-standard project.

Khosrow Khodabandehlou (MiVIP, Undergraduate, York University)

Yini Mao (MiVIP, Undergraduate UofT)

Youxue Ren (MiVIP, Undergraduate UofT)

Rui Zhu (MiVIP, Undergraduate UofT) Rui is a third-year student, going into fourth year and is completing a computer science specialist. Rui is a ROP student, working on imperfect gold standard project.

Grace Yu (MiVIP, Undergraduate UofT)

Tong Su (MiVIP, Undergraduate UofT)

Will Wu (MiVIP, Undergraduate UofT)

Yash Ramani (MiVIP, Undergraduate UofT)

Yihan Wang (MiVIP, Undergraduate UofT)

Trainees

Felipe Castillo (Medical Imaging fellow, UofT 2023)

Bita Behrouzi (MD, Internal medicine medical resident, Boston, USA)

Biostatistician

Irene Feng (Graduate student, Biostats DLSPH UofT)

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Alumni

Alana Man • Ali Geramy • Ali Rafieian • Angela Lo • Ariba Alam • Aya Mahder-Bashi • Brandon Tetruck • Clare Sheen • Daniella Manna • Danielle Arje • Eli Lechtman • Ervin Ibadula • Faith Balshin • George Wang • Yu Xiang (Gordon) Wang • Hao Yue (Helena) Lan • Janet Huang • Jayun Bae • Julia Robson • Juan Diaz Martinez • Kiersten Thomas • Mashhood Memon • Meimei Fong • Michael Manno • Michelle Cheung • Madia Stec • Neda Ghiam • Ori Wiegner • Oscar Moody • Rajshree Daulatabad Rajshree is a Masters student specializing in Machine Learning and Deep Learning for Medical Imaging. • Stella Song • Tina Binesh Marvasti • Usman Tarique • Yang Zang • Yao Xi • Yuhang Wu • Zeneng Fan • 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. • Daniel EftekhariDuring 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. • 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.  • Henry LuHenry is a biostatistics PhD student at UofT with a focus in statistical genetics research. • 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. • 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. • 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! • Stella WangStella earned her master degree in Biostatistics at the University of Toronto in 2019. She worked as a biostatistician in Prof. Tyrrell's lab and helped researchers in the biomedical field with statistical analysis. She is currently working in UHN and SickKids as biostatistician/analyst. • Amber(Fengyan) LiAmber(Fengyan) Li was born in China. She completed her undergraduate degree in Math and Statistics at the University of Toronto. Amber has been working as a research assistant in the lab since July 2015. She worked on the project Replacing Experts with Student Raters: An Example Using MRI Vessel Wall Volumes. She is the creator of the website https://md.softxinnovations.ai/, introducing agreement statistics for radiology. • Stanley Bryan Hua (Undergrad student – BSc, Volunteer)Stanley 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. • 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. • Afsaneh Amirabadi Afsaneh 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. • 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. • Emaan Chaudry • 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. Frozan Safi • She is a 2nd year med student at UofT with an interest in AIML who plugs into the lab as a volunteer. Guan Wang Guan a current thesis-based master from biostatistics • 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. • Haoying Shen • Indranil Balki Indranil was an ROP and independent study student. • Irene Fang Irene is pursuing a double major in Human Biology and Immunology. She is an ROP student who enjoys playing the piano in her free time. • Irene Yingxuan Niu Irene is in her 4^th 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. • Jacqueline Seal Jacqueline is entering her second year at U of T, majoring in Computer Science and specializing in Bioinformatics and Computational Biology. She is an ROP student for the Summer 2021 term. In her free time, she enjoys hiking and listening to podcasts. • Jason Zhu Jason worked in the lab as a Biostatistician during his time as an MSc student. Now he's working on the Vasculitis and MS research project part-time • 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. • Jihong Huang • John Valen John has obtained his Master of Statistics at the Catholic University of Leuven in Belgium. His focus is on Bayesian machine learning, with uncertainty measures in reporting performance. He has been involved on and off in the lab since summer 2018, occasionally helping on research papers. • 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! • Lu Yang Shang • Lynxi Chen • 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. • Marwan Mohamed Marwan is a business intern for AceAge • Minji (Jinny) Kim • 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. • Rashmi Kurup Rashmi is a research manager • 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. • 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. • 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. • Yunni Qu Yunni is specializing in Data Science at the University of Toronto and is currently a work study student for the lab. • Ziming Chen Ziming Chen will become a graduate student in biostatistics at University of Toronto in fall of 2021.