Principal Investigator

About Bo

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Bo Wang

Bo Wang is an assistant professor at Dept. of Medical Biophysics at University of Toronto. He leads the AI team for Peter Munk Cardiac Centre (PMCC) at University Health Network (UHN). He is also a CIFAR AI Chair at Vector Institute, Toronto.

Bo obtained his PhD from the Department of Computer Science at Stanford University, and has extensive industrial research experience at many leading companies such as Illumina and Genentech. His PhD work covers statistical methods for solving problems in computational biology with an emphasis on integrative cancer analysis and single-cell analysis.

Bo Wang’s long-term research goals aim to develop integrative and interpretable machine learning algorithms that can help clinicians with predictive models and decision support to tailor patients’ care to their unique clinical and genomic traits.

Bo Wang

Google Scholar

Department of Medical Biophysics
Vector Institute
Peter Munk Cardiac Centre

bowang@vectorinstitute.ai

Current Members (Alphabetical Order)

About Claire

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Claire Luo

Claire is a fourth year Computer Engineering student with a Bio Medical minor. Her research interests are in Machine Learning, Single Cell and Multi-Omics.

Claire Luo

Undergraduate Researcher

claire.luo414@gmail.com

About Duncan

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Duncan Forster

I work on integrating diverse biological networks using graph neural networks in order to discover new subsystems in the cell.

Duncan Forster

Research Student

duncan.forster@mail.utoronto.ca

About Ivy

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Ivy Yuan

I am currently a third year computer engineering undergraduate with biomedical engineering minor at University of Toronto. I am interested in applying computer intelligence in bio-medical field. My topics including survival prediction, interactive single cell analysis and immune host response.

Ivy Yuan

Undergraduate Researcher

ivyxintian.yuan@mail.utoronto.ca

About Jesse

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Jesse Sun

I’m Jesse! I’m currently a summer undergraduate research student that will be entering my second year in Computer Science at the University of Waterloo. This summer, I’ve received the incredible opportunity to work with Dr. Wang’s lab - more specifically on the medical imaging team. My research is centred around diagnostic and segmentation models for medical images such as MRI/CT scans. Furthermore, given the fact that most data in the real world is unlabeled, we are very much interested in developing semi-supervised learning methods for these models. There is a surprisingly high demand for computer aided devices for diagnosing cardiac diseases and segmenting classes of interest, and I couldn’t be more excited to be working on this project during my short stint this summer term!

Jesse Sun

Summer Student

j294sun@uwaterloo.ca

About John

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John Giorgi

At a high-level, my research focuses on machine reading of biomedical literature and clinical notes. More specifically, this involves developing methods for the major components of text-mining and information extraction (IE) namely: named entity recognition (NER), named entity linking (NEL), and relation/event extraction (RE). The end goal is to develop a neural end-to-end system for machine reading of biomedical literature and clinical notes and to make the system freely available as an open-source tool.”

John Giorgi

Research Student

johnmgiorgi@gmail.com

About Katayoon

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Katayoon

Katayoon received her PhD in Bioinformatics from the University of British Columbia. She specialized in translational cancer genomics, identifying diagnostic and prognostic molecular biomarkers of cancer. She is passionate about transforming lives through the application of advanced technologies in healthcare.

Katayoon Kasaian

Scientific Associate

katayoon.kasaian@uhnresearch.ca

About Lin

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Lin Zhang

Lin received her HB.A in Statistics and B.A in Economics from University of California, Berkeley in 2012, and received her M.A in Applied Statistics from University of California, Santa Barbara in 2015. Lin is currently a PhD candidate in Statistics Department at University of Toronto. She works as a research student in Wang’s lab and her research focuses on machine learning methods for analyzing single-cell data.

Lin Zhang

Research Student

linz.zhang@mail.utoronto.ca

About Osvald

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Osvald Nitski

I am a UofT undergraduate mechatronics student on a 12 month co-op in Dr. Wang's lab. My projects include machine learning for EHR analysis/diagnostics and medical imaging.

Osvald Nitski

Undergraduate Researcher

osvald.nitski@gmail.com

About Rashmi

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Rashmi Nedadur

Rashmi is a cardiac surgery resident interested in the use of machine learning algorithms in echocardiography automation, disease detection in cardiovascular imaging and outcome prognostication.

Rashmi Nedadur

Researcher

rnedadur@gmail.com

About Rex

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Rex Ma

Rex is currently an undergraduate Computer Engineering student at the University of Toronto. He is especially good at coding and mathematics, and he is very interested in AI combined with biomedical area.

Rex Ma

Undergraduate Researcher

rex.ma@mail.utoronto.ca

About Shun

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Shun Liao

I’m Shun, who is currently pursuing computer science Ph.D. at the University of Toronto. My research interests include machine learning and its application in healthcare.

Shun Liao

Research Student

shunliao0@gmail.com

About Xindi

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Xindi Wang

Xindi is a research student at UHN, and her research focus on natural language processing in healthcare and biomedicine. She did her master degree at the University of Western Ontario, and her thesis was dealing with large-scale multi-label biomedical documents classification. Her undergraduate was in mathematics at the University of British Columbia.

Xindi Wang

Research Student

xwang842@uwo.ca

About Yini

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Yini Yang

I did my undergraduate at University of Toronto majored in Pharmacology and Statistical Science. Then I shift my interest to from Biology to Machine Learning as I was motivated by the use of computational techniques to better understand what is needed in the industry. Now I am doing my Master of Science in Bioinformatics at Georgia Tech. Always, I picture myself as a problem solver/strategist rather than a data cruncher. And I love how there’s always more to learn!

Yini Yang

Summer Student

yini.yang@gatech.edu

About Yuchen

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Yuchen Wang

UofT CS undergraduate, working on sepsis early prediction and prediction of cardiovascular mortality caused by organ transplantation.

Yuchen Wang

Summer Student

raina.wang@mail.utoronto.ca

About Zeinab

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Zeinab Navidi

Zeinab completed her BSc in Computer Engineering at the Sharif University of Technology and recently defended her MSc in Artificial Intelligence field. Currently, she is working as a summer research student in Machine Learning and Computational Biology at Wang's lab and her main focus are on single-cell data analysis. Single-cell is one of the hottest areas in computational biology and she is interested in developing novel practical tools using machine learning applications.

Zeinab Navidi

Research Student

z.navidi90@gmail.com

About Zhiyong

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Zhiyong Dou

Zhiyong is currently a visiting student at University of Toronto. He works as a research student in Wang’s lab and his research focuses on computer vision and single-cell data analysis.

Zhiyong Dou

Research Student

douzy94@gmail.com

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