プロフィール詳細

プロジェクトを作成

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Dr. Stephane Z.に依頼

United States

Senior Research Scientist & Data / Machine Learning Engineer | Expert in Python & C++

プロフィール概要

A highly motivated Senior Researcher with ten years of experience in software development and project management in an international context of particle physics experiments. Versatile mathematical and physics skills, being at ease in cooperative environments, and considerable autonomy. Led a wide range of work from proposals for future experiments, deploying novel software solutions to obtaining world-leading physics results. Expertise in: - Big data, cleaning, preprocessing, and features engineering - Simulation, modeling, exploration, and quantitative/data analysis - Signal processing, statistical methods, and machine learning My most notable achievement: I led the design and construction of a £10+M physics instrument for the future Hyper-Kamiokande experiment in Japan (2027). I spearheaded a new design using small photosensor units, setting new standards for large-scale experiments. I regularly publish in high-profile journals (Nature, Physics Review D, etc.). I was selected as a keynote speaker at international conferences for the T2K, Super-Kamiokande, Hyper-Kamiokande, and Theia collaborations (300+ members) in all five continents. I also teach and mentors/supervise Ph.D. students.

専門分野

• ★ Machine Learning
• ★ Neural Networks
• ★ Deep Learning
• ☆ Engineering Physics
• ☆ Computer Science
• ☆ Supercomputing
• ☆ Parallel Computing
• ☆ Distributed Computing
• ☆ Nuclear Engineering
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Data Architecture
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Computer Vision
• ☆ Financial Modeling
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Comparative Analysis
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Quantum Statistics
• ☆ Statistical Computing
• ☆ Mathematical Statistics
• ☆ Statistical Review
• ☆ Electromagnetism
• ☆ Radiophysics
• ☆ Wave Mechanics
• ☆ Applied Mechanics
• ☆ Thermodynamics
• ☆ Particle Physics
• ☆ Nuclear Physics
• ☆ Nuclear Power
• ☆ Quantum Mechanics
• ☆ Theoretical Physics
• ☆ Computational Physics
• ☆ Applied Physics
• ☆ X-Ray Technology
• ☆ Relativity Theory
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Computational Sciences
• ☆ Mathematical Physics
• ☆ Differential Equations
• ☆ Group Theory
• ☆ Stochastic Processes
• ☆ Game Theory
• ☆ Pure Mathematics
• ☆ Algebra
• ☆ Calculus
• ☆ Mathematical Analysis
• ☆ Geometry
• ☆ Mathematical Logic
• ☆ Topology
• ☆ Graph Theory
• ☆ Discrete Mathematics
• ☆ Integral Equations
• ☆ Optics
• ☆ Lasers & Photonics
• ☆ Fiber Optics
• ☆ Optical Engineering
• ☆ Python
• ☆ Matlab
• ☆ SQL
• ☆ Excel
• ☆ Tensorflow
• ☆ LaTex
• ☆ R
• ☆ Scikit-learn
• ☆ Hadoop
• ☆ Markup Languages

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Scientific and Technical Research

Consulting Scientific and Technical Consulting, Financial Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Product Development Quality Assurance & Control (QA/QC)

職務経験

Marie Curie Fellow

King's College London

4月 2021 - 現在

Postdoctoral research scholar

UC Berkeley

11月 2019 - 3月 2021

Postdoctoral Research Associate

Queen Mary University London

10月 2016 - 10月 2019

学歴

Ph.D. in Physics

Université Grenoble Alpes - France

10月 2013 - 9月 2016

Masters of Science

Imperial College London

9月 2012 - 5月 2013

認定資格

• 認定資格の詳細は未入力です。