Andrew Proppe Email
Machine Learning Scientist @ Perceptive Space
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Andrew Proppe Location
- Ottawa, ON, CA
Andrew Proppe Work
- Machine Learning Scientist @ (February 2025 - Present)
- Research Associate @ Joint Centre for Extreme Photonics (JCEP) - National Research Council Canada & u (August 2024 - February 2025)
- Senior Postdoctoral Fellow @ Joint Centre for Extreme Photonics (JCEP) - National Research Council Canada & u (August 2022 - August 2024)
- NSERC Postdoctoral Fellow @ (July 2020 - August 2022)
- Postdoctoral Researcher @ (September 2019 - July 2020)
- Graduate Student @ (January 2016 - September 2019)
- CIFAR Bioinspired Solar Energy Program Member @ (January 2016 - September 2019)
Andrew Proppe Education
- University of Toronto
Doctor of Philosophy (Ph.D.) (Physical Chemistry)
2016-2019 - Princeton University
Doctor of Philosophy (Ph.D.) (Physical Chemistry)
2014-2015 - Concordia University
Bachelor’s Degree (Honours Chemistry)
2011-2014
Andrew Proppe Skills
- Neural Ordinary Differential Equations
- Convolutional Neural Networks (CNN)
- Generative Neural Networks
- Recurrent Neural Networks (RNN)
- Artificial Neural Networks
- Artificial Intelligence (AI)
- Computer Vision
- Coding Experience
- Research and Development (R&D)
- LabVIEW
- Ultrafast Spectroscopy
- Programming
- Python
- Quantum Dots
- Applied Machine Learning
- Deep Learning
- Quantum Optics
- Algorithms
- Optical Physics
- PyTorch
- Python (Programming Language)
- Machine Learning
- Spectroscopy
- Data Analysis
- Materials & Device Fabrication
- Materials Science
- Chemistry
- Biochemistry
- Nanomaterials
- MATLAB
- Fortran
- Public Speaking
- Inorganic Chemistry
- NMR Spectroscopy
- Physical Chemistry
- Nanoparticles
- Nonlinear Optics
- Glovebox
- Ultrafast Lasers
- Microsoft Office
Andrew Proppe Summary
- Andrew Proppe, based in Ottawa, ON, CA, is currently a Machine Learning Scientist at Perceptive Space. Andrew Proppe brings experience from previous roles at Joint Centre for Extreme Photonics (JCEP) - National Research Council Canada & u, Massachusetts Institute of Technology and University of Toronto. Andrew Proppe holds a 2016 - 2019 Doctor of Philosophy (Ph.D.) in Physical Chemistry @ University of Toronto. With a robust skill set that includes Neural Ordinary Differential Equations, Convolutional Neural Networks (CNN), Generative Neural Networks, Recurrent Neural Networks (RNN), Artificial Neural Networks and more. Andrew Proppe has 2 emails on RocketReach.
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