Physics & Programming specialist

Expert in high-energy physics simulation, statistical analysis, and software development

About me

Professional profile

I am a dedicated physicist and programmer with extensive experience in high-energy physics simulation, statistical analysis, and software development. My expertise spans multiple programming languages and tools, with a strong focus on delivering reliable results in collaborative environments.

Core competencies

Physics simulation Statistical analysis C/C++ Programming Python Machine Learning Monte Carlo methods Web development Database management Geant4 ROOT CERN

Contact information

(+1) 438-722-1900

Kinson.VERNET@gmail.com

Montreal (QC), H1H 5G4

Tools & technologies

CMake Bash Git LaTeX Lua Markdown Slurm/SGE MySQL HTML/CSS PHP JavaScript

Professional experience

Scientific computing Engineer, category A

Université Clermont Auvergne, France

2023 -- 2024

Researcher

Université Clermont Auvergne, France

2019 -- 2022

Professor of Algorithms and C/C++ programming

Université d'État d'Haïti, Haïti

2022 -- 2024

Professor of Mathematics, Physics and Linear programming

Université Fond'oies, Haïti

2012 -- 2015

Computer programmer

Usine de Darbone, Haïti

2012 -- 2014

Education

PhD in Particle Physics

Université Clermont Auvergne, France

2022

Master's in Physics

Université d'État d'Haïti, Haïti

2018

Electromechanical Engineering

Université d'État d'Haïti, Haïti

2011

Projects & achievements

Nerthus Medical ML

A comprehensive machine learning and deep learning pipeline for automated bowel preparation quality assessment using the Nerthus dataset.

Python - 2025

Source code

Heart Disease Predictor

A comprehensive machine learning solution for predicting heart disease risk — featuring a clean Streamlit web interface, robust ML pipeline, and insightful visualizations.

Python - 2025

Source code

Deep learning library

Implementation of machine learning algorithms with optimized performance.

C language - 2025

Source code

Publications & research

Goupil: A Monte Carlo engine for the backward transport of low-energy gamma-rays

Valentin Niess, Kinson Vernet, Luca Terray

Computer Physics Communications, 2025

View publication

3D Volcano Imaging Using Transmission Muography

Kinson Vernet

JRJC 2021. Book of Proceedings. hal-03832762v1

A kernel-based approach to reconstruct the density of sub-structures with optimal spatial resolution and statistical uncertainty threshold

Kinson Vernet et al. (in progress)

Contact me

Get in touch

Phone

(+1) 438-722-1900

Email

Kinson.VERNET@gmail.com

Location

Montreal (QC), H1H 5G4

References

Junio DORT - Professor, University of Ottawa
jdort@uottawa.ca

Rubenson MAREUS - Professor, State University of Haiti
rubenson.mareus@ueh.edu.ht

Patric NEDELEC - Professor, Claude Bernard University Lyon 1
patrick.nedelec@univ-lyon1.fr

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