Principal Investigator

About Bo

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Bo Wang

Bo Wang holds a joint tenure-track position as Assistant Professor within the Departments of Laboratory Medicine and Pathobiology and Computer Science 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 Laboratory Medicine and Pathobiology
Department of Computer Science
Peter Munk Cardiac Centre
Vector Institute

[email protected]

Current Members (Alphabetical Order)

About Alaa

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Alaa Shamandy

I am a Computer Science graduate from the University of Toronto and I am currently working at Dr. Wang’s lab. My main focus is on novel Computer Vision applications specifically on Medical Images. Fun fact: My name is short for Aladdin.

Alaa Shamandy

Research Student

[email protected]

About Chloe

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Chloe Wang

I am a recent graduate from McGill neuroscience and my research interest lies in the intersection of medical imaging and machine learning. I am currently a research student at Dr. Wang’s Lab, working on predictive models for heart failure.

Chloe Wang

Research Student

[email protected]

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

[email protected]

About Fatemeh

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Fatemeh Darbeha

I'm pursuing my masters degree in computer science at University of Toronto and Vector institute. I’m passionate about applications of machine learning in health care specifically applying computer vision methods on medical images for prediction. I obtained my B.Sc from Simon Fraser University in computer engineering and worked as a software development engineer for a few years before returning to school.

Fatemeh Darbeha

Research Student

[email protected]

About Haotian

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Haotian Cui

Haotian received the B.S. and M.S. degree in Biomedical Engineering from the Tsinghua University, China in 2015 and 2019. He is currently pursuing the Ph.D. degree at University of Toronto. His current research interests include computer vision, computational biology and machine learning.

Haotian Cui

Research Student

[email protected]

About Hassaan

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Hassaan Maan

I'm a research student working on single-cell sequencing projects, such as the integration of scATAC-seq and scRNA-seq data for improved cell-type discovery and identification.

Hassaan Maan

Research Student

[email protected]

About Hossein

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Seyed Hossein Mousavi

I received my PhD in electrical and computer engineering from the University of Alberta. Currently, I work as a post-doctoral fellow at WangLab. I'm interested in application of machine learning in health care, specifically medical images and EHR analysis.

Hossein Mousavi

Post-doctoral Fellow

[email protected]

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

[email protected]

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

Research Student

[email protected]

About Karthik

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Karthik Bhaskar

Karthik received his M.A.Sc in Electrical and Computer Engineering from University of Toronto. His current research focuses on building novel methods for the Healthcare domain at the intersection of Deep Learning and Natural Language Processing. Apart from his research, He's also interested in Deep Reinforcement Learning based algorithms and its application towards healthcare.

His ultimate goal is to build robust, privacy-preserved, and interpretable algorithms with human like ability to generalize in real-world environments by using data as its own supervision.

Outside of academics, He enjoys travelling, loves photography, reading books, playing basketball, hiking, biking, running - pretty much every sport!

Website: https://www.comm.utoronto.ca/~kbhaskar/

Karthik Bhaskar

Research Student

[email protected]

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

[email protected]

About Mehran

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Mehran Karimzadeh

I am interested in identifying upstream regulators of invasive tumours by investigating single-cell datasets

Mehran Karimzadeh

Post-doctoral Fellow

[email protected]

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

[email protected]

About Phil

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Phil Fradkin

Hello, I’m a research student interested in developing deep learning models for investigating impact of genomic variation in humans. After graduating undergrad at UofT in computer science and bioinformatics, I worked for a few years at a Toronto startup, Deep Genomics. This ignited my curiosity in the possibility of utilizing neural networks for connecting genotypic variation to phenotypic outcomes.

Phil Fradkin

Research Student

[email protected]

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

[email protected]

About Ronald

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Ronald Xie

Ronald received his BSc in Microbiology and Immunology at the University of British Columbia in 2018. He then received his MPhil in Computational Biology at the Department of Applied Mathematics and Theoretical Physics at University of Cambridge in 2019. Ronald is currently a PhD candidate in Computational Biology and Molecular Genetics (CBMG) at the Faculty of Medicine at University of Toronto. His research interests lie in deep learning applications in electron microscopy and single cell omics.

Ronald Xie

Research Student

[email protected]

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

[email protected]

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

[email protected]

About Zhiyong

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Zhiyong Dou

Zhiyong is a 3rd year Ph.D student majoring in Information and Communication Engineering at Huazhong University of Science and Technology. He is currently a visiting student at University of Toronto under the guidance of Prof. Bo Wang. His research focuses on computer vision.

Zhiyong Dou

Research Student

[email protected]

Past Members

Yini Yang    (Master) Claire Luo    (Undergrad) Rex Ma    (Undergrad)
Ivy Yuan    (Undergrad) Yuchen Wang    (Undergrad) Mark Zaidi    (Ph.D)
Sayan Nag    (Ph.D) Katayoon Kasaian    (Scientific Associate) Ines Birimahire    (Master)
Xindi Wang    (Master)

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