David Rimel • Mercury Data Science

David Rimel

MSc

Data Scientist

Data Scientist with expertise in computational physics, high performance computing, numerical analysis, signal processing, and software engineering.

Expertise

Machine Learning algorithms
Computational Physics
High performance computing
Signal processing
Data Science

Education

BS, Physics, university of Colorado at Boulder
M.Sc. Computational Mathematics, Science, and Engineering, Michigan State University

Background

Simulating Photonic Devices
Teaching Introductory Data Science courses
Machine learning/data science
Physics informed machine learning
Computational particle physics
Developing numerical algorithms for distributed memory systems

Experience

Developed numerical solvers for a molecular dynamics code base that could utilize distributed memory computing architectures
Developed genetic algorithms to tune coarse grained particle potentials in molecular dynamics simulations
Created denoising ML model for sparse MRI measurements
Used Gaussian process regression to interpolate between

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