Connor Stephens Email
ML Scientist, Biomolecule Design @ Lila Sciences
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Connor Stephens Location
- San Francisco, CA, US
Connor Stephens Work
- 2026 -now ML Scientist, Biomolecule Design @
- 2024 -2026 Machine Learning Scientist @
- 2023 -2024 Machine Learning Engineer @
- 2020 -2022 Graduate Research Associate @
- 2022 -2022 Research Intern with the Advanced Concepts Team @
- 2019 -2019 Contract Data Scientist @
- 2018 -2018 Undergraduate Research Associate @
- 2017 -2017 Undergraduate Research Associate @
- 2016 -2016 Undergraduate Research Associate @
Connor Stephens Education
- University of Alberta
Master of Science - MS (Computing Science)
2019-2022 - University of Alberta
BSc (Honors Physics)
2014-2018
Connor Stephens Skills
- Numerical Methods
- Statistical Learning
- Mathematical Statistics
- Geometric Deep Learning
- Computational Physics
- Data Analysis
- Kubernetes
- Jax
- Molecular Dynamics
- Generative Models
- Docker
- LaTeX
- Statistics
- Data Science
- SQL
- Robot Operating System (ROS)
- C++
- Computer Vision
- Robotics
- Pandas (Software)
- Python (Programming Language)
- Numerical Optimization
- Bash
- Fortran
- Quantum Chemistry
- Bandit Algorithms
- Scikit-Learn
- Data Visualization
- PyTorch
- Git
- A/B Testing
- Deep Learning
- Graphical Models
- Active Learning
- Machine Learning
- Statistical Modeling
- Reinforcement Learning
- Google Cloud Platform (GCP)
- High Performance Computing (HPC)
Connor Stephens Summary
- Connor Stephens, based in San Francisco, CA, US, is currently a ML Scientist, Biomolecule Design at Lila Sciences. Connor Stephens brings experience from previous roles at Atomic AI, University of Alberta and European Space Agency - ESA. Connor Stephens holds a 2019 - 2022 Master of Science - MS in Computing Science @ University of Alberta. With a robust skill set that includes Numerical Methods, Statistical Learning, Mathematical Statistics, Geometric Deep Learning, Computational Physics and more. Connor Stephens has 2 emails on RocketReach.
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