Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a highly analytical researcher with a PhD in Physics and Materials Science and 10+ years of experience in scientific programming, data analysis, and building computational models. My work blends machine learning, statistical modeling, and simulation-based problem solving to deliver data-driven insights for complex systems. I am proficient in Python, numerical methods, and handling large datasets, with hands-on experience applying ML techniques to optimization and predictive analytics. I am known for delivering reliable, reproducible results and collaborating effectively in multidisciplinary teams, while communicating technical findings clearly. I have authored 12+ peer-reviewed publications and actively contribute as a reviewer. I am passionate about leveraging data to support evidence-based decisions in both industry and research, and I am open to relocation or remote opportunities.…I am a highly analytical researcher with a PhD in Physics and Materials Science and 10+ years of experience in scientific programming, data analysis, and building computational models. My work blends machine learning, statistical modeling, and simulation-based problem solving to deliver data-driven insights for complex systems. I am proficient in Python, numerical methods, and handling large datasets, with hands-on experience applying ML techniques to optimization and predictive analytics. I am known for delivering reliable, reproducible results and collaborating effectively in multidisciplinary teams, while communicating technical findings clearly. I have authored 12+ peer-reviewed publications and actively contribute as a reviewer. I am passionate about leveraging data to support evidence-based decisions in both industry and research, and I am open to relocation or remote opportunities.

Mohammad Shafiei





I am a highly analytical researcher with a PhD in Physics and Materials Science and 10+ years of experience in scientific programming, data analysis, and building computational models. My work blends machine learning, statistical modeling, and simulation-based problem solving to deliver data-driven insights for complex systems. I am proficient in Python, numerical methods, and handling large datasets, with hands-on experience applying ML techniques to optimization and predictive analytics. I am known for delivering reliable, reproducible results and collaborating effectively in multidisciplinary teams, while communicating technical findings clearly. I have authored 12+ peer-reviewed publications and actively contribute as a reviewer. I am passionate about leveraging data to support evidence-based decisions in both industry and research, and I am open to relocation or remote opportunities.…I am a highly analytical researcher with a PhD in Physics and Materials Science and 10+ years of experience in scientific programming, data analysis, and building computational models. My work blends machine learning, statistical modeling, and simulation-based problem solving to deliver data-driven insights for complex systems. I am proficient in Python, numerical methods, and handling large datasets, with hands-on experience applying ML techniques to optimization and predictive analytics. I am known for delivering reliable, reproducible results and collaborating effectively in multidisciplinary teams, while communicating technical findings clearly. I have authored 12+ peer-reviewed publications and actively contribute as a reviewer. I am passionate about leveraging data to support evidence-based decisions in both industry and research, and I am open to relocation or remote opportunities.

Available to hire

I am a highly analytical researcher with a PhD in Physics and Materials Science and 10+ years of experience in scientific programming, data analysis, and building computational models. My work blends machine learning, statistical modeling, and simulation-based problem solving to deliver data-driven insights for complex systems. I am proficient in Python, numerical methods, and handling large datasets, with hands-on experience applying ML techniques to optimization and predictive analytics. I am known for delivering reliable, reproducible results and collaborating effectively in multidisciplinary teams, while communicating technical findings clearly. I have authored 12+ peer-reviewed publications and actively contribute as a reviewer. I am passionate about leveraging data to support evidence-based decisions in both industry and research, and I am open to relocation or remote opportunities.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Dutch

Advanced

Work Experience

Postdoctoral Researcher at University of Antwerp, Belgium

January 1, 2024 - Present

Developed data-driven computational models to analyze and predict material behavior in complex systems. Designed and validated machine-learning and neural-network–based models to capture non-linear relationships in simulation and experimental datasets. Built end-to-end Python-based data-analysis pipelines, including preprocessing, feature extraction, modeling, and visualization. Leveraged high-performance computing environments to scale simulations and accelerate model training. Collaborated in cross-functional and international teams; supervised MSc students, ensuring reproducibility and high-quality analytical outputs.

Visitor Researcher at ICTP – Trieste, Italy

November 1, 2024 - December 31, 2024

Presented applied modeling work focused on pattern detection and signal extraction in complex systems. Exchanged methodologies with international experts on advanced modeling and data interpretation techniques. Strengthened collaboration skills in highly interdisciplinary and international research environments.

Graduate Researcher at University of Antwerp, Belgium

June 1, 2021 - December 31, 2023

Executed and analyzed 600+ large-scale simulations, generating high-dimensional datasets for downstream statistical analysis and machine learning. Designed custom algorithmic and ANN-based models to study transport phenomena and predict system responses under varying conditions. Developed reusable Python and C workflows for simulation, data processing, and performance optimization. Applied statistical analysis, feature engineering, and visualization using NumPy, SciPy, and Matplotlib to extract actionable insights. Owned projects end-to-end: problem formulation, model development, validation, and communication of results.