Shaghayegh Reza

Postdoctoral Researcher @University Health Network

North York, ON, CA
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

May 2025 — Present

Postdoctoral Researcher @University Health Network

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Toronto, ON, CA

Develops machine learning models and MLOps workflows for AIRCHECK, an open platform accelerating hit discovery in drug development. Focuses on processing high-dimensional chemical data, building robust predictive models, and ensuring reproducibility through scalable infrastructure.

EDUCATION

2006 — 2008

Amirkabir University of Technology - Tehran Polytechnic

Master of Science (MSc)

2013 — 2022

Amirkabir University of Technology - Tehran Polytechnic

Doctor of Philosophy - PhD

2002 — 2006

Amirkabir University of Technology - Tehran Polytechnic

Bachelor's degree

SKILLS

SimulationsMathematical ModelingProgrammingC#MatlabC++AlgorithmsStatisticsImage ProcessingSignal ProcessingComputer ScienceLatexMicrosoft ExcelMachine LearningBiomedical EngineeringMicrosoft OfficePattern RecognitionCSoftware DevelopmentSimulink

ABOUT SHAGHAYEGH REZA

With over 14 years of experience in machine learning, data analysis, neural networks, deep learning, research, and the implementation of state-of-the-art methods, as well as expertise in pattern recognition, signal processing, programming, and artificial intelligence, I am confident that my knowledge, experience, talent, and teamwork skills will prove valuable to companies seeking an experienced machine learning engineer, researcher, and developer for their cutting-edge projects. The following are highlights of my qualifications: • Product-focused research and programming experience in ML software development and data analysis • Deep knowledge of machine learning, data science, deep neural networks, pattern recognition, signal processing, and statistical modeling achieved from hands-on experience, courses, workshops, and licenses • Extensive work experience in preprocessing, cleansing, filtering, enhancing and standardizing data, extracting and selecting proper features, extracting patterns from them, fitting models, and using them for recognition and visualization • Expert in surveying techniques, implementing new methods, defining road maps, and preparing technical reports • Experienced in maintenance and troubleshooting of products to match the client\'s needs. • Published 14 papers in machine learning and data science, supervised B.Sc. theses, taught in workshops and university • Honored by the national elite foundation, praised with the best researcher & first Ph.D. student awards, … • Strong technical, problem-solving, and decision-making skills. Ability to multitask and prioritize workload • Highly adaptive and exceptional team player with quick learning ability to master and apply new concepts

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