Morteza Rezanejad Email & Phone Number

New York, NY, US

Princeton, New Jersey, United States

Montreal, Quebec, Canada

• At the Goodman Cancer Institute, my role involved collaborative research focused on the tumor microenvironment and AI-based biomarkers for lung cancer. Utilizing advanced imaging techniques, we explored cellular.
• Single-cell spatial landscapes of the lung tumor immune microenvironment. Nature, 2023., DOI:10.1038/s41586-022-05672-3
• Single-cell spatial immune landscapes of primary and metastatic brain tumors. Nature, 2023. DOI:10.1038/s41586-022-05680-3
• Single-cell spatial landscape of immunotherapy response reveals mech- anisms of CXCL13 enhanced anti-tumor immunity. Journal for Immunotherapy of Cancer, 2023. DOI: 10.1136/jitc-2022-005545.
• Neutrophil oxidative stress mediates obesity-associated vascular dysfunction and metastatic transmigration. Nature Cancer, 2021, 2021, pp.1-18. DOI:10.1038/s43018-021-00194-9I have been working with the Goodman Cancer.

Montreal, Quebec, Canada

Toronto, Ontario, Canada

At Recursion, my role involves designing and implementing deep neural network models, focusing on extracting meaningful biological insights. I work with an extraordinary dataset, boasting over 19 petabytes of unique high-dimensional data, which serves as a rich canvas for our innovative explorations in the biological domain.Related publication:RxRx1: A.

Toronto, Ontario, Canada

Head of Pix2Props Research GroupI spearhead a variety of projects focused on visual perception problems at the Pix2Props Research Group. Our innovative initiatives are cultivated in collaboration with the Departments of Computer Science, Psychology, and Mechanical & Industrial Engineering at the University of Toronto.For a full list of my recent projects.

Toronto, Ontario, Canada

CSC 420 - Introduction to Image Understanding Summer 2020*CSC 420 - Introduction to Image Understanding Fall 2020** Video lectures are available on UofT's Quercus website at https://q.utoronto.ca/

Toronto, ON, Canada

APS 105 - Computer Fundamentals, University of Toronto** Some of the video lectures are available on UofT's Quercus website at https://q.utoronto.ca/

Montreal, Quebec, Canada

This includes my Ph.D. research work on medial representations for recognition, mapping, and categorization problems.

Montreal, Quebec, Canada

COMP 558 - Computer Vision (Winter 2017, Winter 2015, Fall 2013, Winter 2013)ECSE 202 - Introduction to Software Development (Winter 2019, Fall 2018, Winter 2018, Fall 2017)COMP 208 - Computers in Engineering (Fall 2019, Winter 2019, Fall 2018, Winter 2018, Fall 2017, Fall 2016, Winter 2016, Fall 2015, Fall 2014, and Winter 2014)

Montreal, Canada Area

COMP 208 - Computers in Engineering

Montreal, Quebec, Canada

I completed an internship at NeuroRX, participating in the CREATE-MIA program. This experience involved multifaceted training aimed at preparing for careers in both academia and industry. (http://create-mia.cim.mcgill.ca/people)My work focused on using deep neural networks for the quality assessment of MRI images, contributing to improvements in their.

Montreal, Quebec, Canada

This includes my graduate research work on medial representations for recognition.

I contributed to the development of two notable iOS applications:Chare: A user-friendly mobile interface tailored for the first Persian online shopping store, enhancing the shopping experience for users.iPersia: An innovative iPad application designed as a tourist guide, allowing users to explore professional landscape photographs of destinations, offering.

This includes my master's research work on flux graphs for 2D shape analysis.

I had the opportunity to contribute as an undergraduate Research Assistant in the Computer Vision Group, where I worked diligently on a pivotal medical imaging analysis project. The project, titled "Automatic Detection of Melanoma," was conducted under the esteemed supervision of Professor Mehrdad Shahshahani, where we focused on innovating and enhancing.

Contributed to a project focused on the JPEG compression of map photos, optimizing them for compatibility and performance on J2ME platforms.

Doctor Of Philosophy - Phd, Computer Science

My Ph.D. thesis focuses on the different problems of recognition, mapping, and categorization in the field of computer vision. It is.

Master'S Degree, Computer Science

My MSc thesis is available here: https://mcgill.on.worldcat.org/oclc/922007920

Bachelor'S Degree, Computer Engineering