Michael Balas

Researcher | Department of Ophthalmology at Prism Eye Institute
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Greater Toronto Area, Canada, CA
Languages
  • English Native or bilingual proficiency
  • Romanian Native or bilingual proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • Canada
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Researcher | Department of Ophthalmology
      • May 2021 - Present

      Developing AI tools for eye surgery quality assessment and outcome prognostics. Developing AI tools for eye surgery quality assessment and outcome prognostics.

    • Canada
    • Non-profit Organization Management
    • 200 - 300 Employee
    • Vice Chair - Data Supports for HHR Working Group
      • May 2023 - Present

      Steering the planning/development of a comprehensive physician workforce database to streamline HHR management; offering insights to boost policy development and ensure optimal medical service delivery Steering the planning/development of a comprehensive physician workforce database to streamline HHR management; offering insights to boost policy development and ensure optimal medical service delivery

    • Canada
    • Hospitals and Health Care
    • Managing Partner
      • Aug 2020 - Present

    • Canada
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Chair of the Health Human Resources Task Force (HHRTF)
      • Oct 2020 - Present

      Selected nationally as the Chair to produce an interactive HHR platform for medical students and plan physician resource allocation with government. cfms.org/resources/health-human-resources-platform/ Selected nationally as the Chair to produce an interactive HHR platform for medical students and plan physician resource allocation with government. cfms.org/resources/health-human-resources-platform/

    • Canada
    • Hospitals and Health Care
    • 700 & Above Employee
    • Researcher | Division of Neurosurgery
      • Nov 2019 - Feb 2022

      Implementing deep learning models to classify brain hemorrhage with radiologist-level precision. In collaboration with the Chinese University of Hong Kong and Google Cloud. Performing single-cell and systems-level analysis of gene expression data that informs future cancer therapies and establishes universal markers of disease. Applying data-intense analytics and machine learning techniques to better understand the determinants of poor outcome in trauma patients at a population health level. Show less

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Cellular & Molecular Biology Teaching Assistant | Faculty of Health Sciences
      • Sep 2017 - Apr 2019

    • Community Advisor | Housing & Conference Services
      • Aug 2017 - Apr 2019

    • Hospitals and Health Care
    • 300 - 400 Employee
    • Researcher | Adaptive Neurorehabilitation Systems Lab
      • May 2018 - Aug 2018

      Discovered new and optimized ways of interfacing peripheral nerves with assistive devices to eventually create neuroprosthetic systems that can reproduce natural movement. Created an algorithm that decodes the bioelectric signals of the peripheral nervous system 11% more accurately than the previously defined best metric in the scientific literature. Discovered new and optimized ways of interfacing peripheral nerves with assistive devices to eventually create neuroprosthetic systems that can reproduce natural movement. Created an algorithm that decodes the bioelectric signals of the peripheral nervous system 11% more accurately than the previously defined best metric in the scientific literature.

    • Canada
    • Software Development
    • 1 - 100 Employee
    • Software Development Intern
      • May 2016 - Aug 2017

      Spearheaded the development of several projects which include intensive data mining, natural language processing (NLP) machine learning model construction/optimization, and systems relating to the digital engraving of algorithmically generated music. Oversaw all responsive web design from concept to completion. Spearheaded the development of several projects which include intensive data mining, natural language processing (NLP) machine learning model construction/optimization, and systems relating to the digital engraving of algorithmically generated music. Oversaw all responsive web design from concept to completion.

Education

  • University of Toronto
    Doctor of Medicine - MD
    2020 - 2024
  • McMaster University
    Bachelor of Health Sciences (Honours)
    2015 - 2019
  • McMaster University
    Minor in Computer Science
    2015 - 2019

Community

You need to have a working account to view this content. Click here to join now