cv
Here is a (mostly) complete version of my cv, you can also download a 1 page summary with the pdf button. Checkout my Linkedin for a complete history!
Basics
| Name | Jeffrey Watchorn |
| Label | Staff Research Scientist |
| jeffreydwatchorn@gmail.com | |
| Url | https://jwatchorn.github.io |
| Summary | A curious chemical engineer by training, working to leverage data science, ai and automation for materials discovery |
Work
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2024.01 - Current Staff Research Scientist
Acceleration Consortium
Developed end-to-end python-based pipelines for AI/ML-driven experimentation including developing the robotics, programming ML for experiment planning and data modelling, as well as configuring the database ETL pipelines.
- Machine Learning (python), Bayesian Optimization (python), Hardware Engineering, ETL pipelines
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2017.09 - 2023.09 Graduate Research Associate
Frank Gu Lab
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.
- Drug Delivery Devices, Spectroscopy (NMR), Technical Writing, Machine Learning (python)
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2017.05 - 2017.09 Data Analyst (Contract)
Statistics Canada
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.
- Big Data, SAS, SQL, Technical Writing, Machine Learning (python)
Education
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2018.09 - 2023.09 Toronto, Canada
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2012.09 - 2017.05 Waterloo, Canada
Bachelor of Applied Science (Co-op)
University of Waterloo, with Distinction
Nanotechnology Engineering
Awards
- 2023
Chair's Discovery Award
University of Toronto
Awarded to graduate students in the department of Chemical Engineering for making substantial contributions, in the form of published journal articles, to their field of study.
- 2019, 2021, 2022
Queen Elizabeth II Graduate Scholarship in Science and Technology
University of Toronto
Merit-based scholarship supporting doctoral studies in natural and applied sciences
- 2020, 2021
McLean Foundation Graduate Scholarship in Science and Technology
University of Toronto
Merit-based scholarship supporting doctoral studies considering academic excellence
Certificates
| Deep Learning in Python | ||
| DataCamp | 2022-11-01 |
| Machine Learning with Python | ||
| DataCamp | 2022-08-01 |
Publications
Skills
| Programming | |
| Python (Machine Learning Stack) | |
| SQL | |
| MATLAB | |
| SAS | |
| C |
Languages
| English | |
| Native speaker |
| French | |
| Fluent |
Interests
| Data Science | |
| Machine Learning | |
| Deep Learning | |
| Active Learning | |
| Bayesian Optimization | |
| ETL Pipelines | |
| Computer Vision |
| Materials Science | |
| Hydrogels | |
| Drug Delivery | |
| Macromolecular Interactions | |
| Metamaterials |