Jeff Watchorn

Graduate Research Associate at Frank Gu Lab
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Contact Information
us****@****om
(386) 825-5501
Location
Toronto, Ontario, Canada, CA
Languages
  • English Native or bilingual proficiency
  • French Full professional proficiency

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Bio

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Credentials

  • Deep Learning in Python
    DataCamp
    Nov, 2022
    - Oct, 2024
  • Machine Learning Fundamentals with Python
    DataCamp
    Aug, 2022
    - Oct, 2024
  • Python Programmer
    DataCamp
    Jul, 2022
    - Oct, 2024

Experience

    • Canada
    • Research Services
    • 1 - 100 Employee
    • Graduate Research Associate
      • Sep 2017 - Present

      Led a small multidisciplinary team to elucidate the driving mechanisms behind protein-biomaterials interactions using nuclear magnetic resonance, statistical methods, and machine learning, towards data-driven nanoparticle drug delivery system design. My contributions in this position have lead to several peer-reviewed publications (with more on the way), the discovery of new approaches to characterize materials interactions, ultimately broadening our collective understanding of biomaterials behavior. Show less

    • Canada
    • Government Administration
    • 700 & Above Employee
    • Data Analyst
      • May 2017 - Sep 2017

      Developed frameworks for accessing, tabulating, and analyzing Statistics Canada databases used for national indicators (such as consumer price index). Implemented machine learning tools, including KMeans clustering, to dynamically assign product category labels to sample consumer shopping carts. These frameworks automated several time-consuming core tasks, as well as provided new and exciting insights into our existing datasets. This outcome both enabled new projects to be undertaken by reducing overhead and by offering new angles to investigate the make-up of core statistical indicators. Show less

    • United States
    • Motor Vehicle Manufacturing
    • 700 & Above Employee
    • Metallurgical Engineering Intern
      • May 2016 - Aug 2016

      Worked in conjunction with mechanical engineers to design and test automotive cooling parts for production. Broadly applied failure analysis, reverse engineering, problem solving, and technical communication skills to develop products to satisfy external stakeholders. In this role, I provided rapid breakdown and analysis of key failure modes which enabled for rapid prototyping, a reduction in component failure rate as well as a reduction in laboratory processing times. Worked in conjunction with mechanical engineers to design and test automotive cooling parts for production. Broadly applied failure analysis, reverse engineering, problem solving, and technical communication skills to develop products to satisfy external stakeholders. In this role, I provided rapid breakdown and analysis of key failure modes which enabled for rapid prototyping, a reduction in component failure rate as well as a reduction in laboratory processing times.

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Jan 2016 - Apr 2016

      Accelerated THz quantum cascade laser development by optimizing quantum well solver for laser modelling and implementing evolutionary algorithms in MATLAB for design discovery and improvement. Also supported prototyping in the lab with four-point probe IV, LIV and profilometry. These supports reduced the prototyping time, increased the number of functional devices, and discovered devices which outperformed the existing state of the art. Accelerated THz quantum cascade laser development by optimizing quantum well solver for laser modelling and implementing evolutionary algorithms in MATLAB for design discovery and improvement. Also supported prototyping in the lab with four-point probe IV, LIV and profilometry. These supports reduced the prototyping time, increased the number of functional devices, and discovered devices which outperformed the existing state of the art.

    • Canada
    • Armed Forces
    • 700 & Above Employee
    • Data Analyst
      • Jan 2015 - May 2015

      Designed and applied multi-objective optimization to solve NP-hard assignment problems in support of resource allocation for the Canadian Armed Forces, Navy, and Air Force. These evolutionary algorithms were then packaged for general use in support of ongoing projects within the Center for Operational Research and Analysis (CORA). This resource allocation framework reduced the time and cost of training with no additional increases in capital expense. Designed and applied multi-objective optimization to solve NP-hard assignment problems in support of resource allocation for the Canadian Armed Forces, Navy, and Air Force. These evolutionary algorithms were then packaged for general use in support of ongoing projects within the Center for Operational Research and Analysis (CORA). This resource allocation framework reduced the time and cost of training with no additional increases in capital expense.

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Sep 2014 - Dec 2014

      Developed a multiphysics modelling framework for semiconducting lasers in support of the room temperature terahertz quantum cascade laser research. These contributions improved the efficacy of prototyping by reducing the failure rate of laser prototypes through in silico modelling. Developed a multiphysics modelling framework for semiconducting lasers in support of the room temperature terahertz quantum cascade laser research. These contributions improved the efficacy of prototyping by reducing the failure rate of laser prototypes through in silico modelling.

    • Canada
    • Government Administration
    • 700 & Above Employee
    • Data Analyst
      • Jan 2014 - May 2014

      Wrote and implemented data preprocessing and data analysis code in MATLAB in order to use data from real-time fast response cavity ring-down spectrometers in atmospheric composition and land-use associated greenhouse gas emissions. These scripts enabled high quality data analysis and the production of publication quality figures which were ultimately included in peer-reviewed publications. Wrote and implemented data preprocessing and data analysis code in MATLAB in order to use data from real-time fast response cavity ring-down spectrometers in atmospheric composition and land-use associated greenhouse gas emissions. These scripts enabled high quality data analysis and the production of publication quality figures which were ultimately included in peer-reviewed publications.

Education

  • University of Toronto
    Doctor of Philosophy - PhD, Chemical Engineering
    2018 - 2023
  • University of Waterloo
    Bachelor of Applied Science (B.A.Sc.), Nanotechnology Engineering - With Distinction
    2012 - 2017

Community

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