Rob Verheyen Email
Machine Learning Engineer @ Deconcern
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Rob Verheyen Location
- Nijmegen, GE, NL
Rob Verheyen Work
- Machine Learning Engineer @ (January 2023 - Present)
- Postdoctoral Researcher, Machine Learning and Theoretical Physics @ (October 2019 - December 2022)
- PhD Researcher, Theoretical Physics @ (May 2015 - February 2020)
Rob Verheyen Education
- Radboud University
PhD (Theoretical High Energy Physics)
2015-2020 - Radboud University
Master of Science - MS (Elementary Particle Physics)
2013-2015 - Radboud University
Bachelor of Science (BSc) (Physics and Astronomy)
2009-2013
Rob Verheyen Skills
- Algorithms
- Anomaly Detection
- C++
- Collaborative Problem Solving
- Computer Vision
- Deep Learning
- Graph Neural Networks
- High Performance Computing (HPC)
- LaTeX
- Large Language Models (LLM)
- Linux
- MLOps
- Machine Learning
- Machine Learning Engineering
- Mathematics
- Model Deployment
- Monte Carlo Simulation
- Natural Language Processing (NLP)
- Parallel Computing
- Physics
- Probabilistic Models
- Programming
- PyTorch
- Python
- Scientific Computing
- Scientific Programming
- Scientific Writing
- Software Development
- Statistics
- Teaching
- TensorFlow
- Transformers
- Theory
- Boost C++
- NumPy
Rob Verheyen Summary
- Rob Verheyen, based in Nijmegen, GE, NL, is currently a Machine Learning Engineer at Deconcern. Rob Verheyen brings experience from previous roles at UCL and Radboud University. Rob Verheyen holds a 2015 - 2020 PhD in Theoretical High Energy Physics @ Radboud University. With a robust skill set that includes Algorithms, Anomaly Detection, C++, Collaborative Problem Solving, Computer Vision and more.
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