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Hire Charles D.

Netherlands

Computational Science PhD Researcher | Machine Learning, NLP & LLMs, Agent-Based Modeling, Data Science

Profile Summary

I am a computational scientist and machine learning engineer. I'm currently a PhD candidate in Computational Science at the University of Amsterdam (Amsterdam UMC), and I have more than five years of industry experience in NLP, AI and data science. I help research teams and companies turn complex data and systems questions into working models, analyses and software. My PhD research covers agent-based modeling of epidemics under different climate change scenarios, modeling human decision-making under risk and uncertainty with reinforcement learning, and the spread of misinformation through social networks. For my MSc in Computational Science (cum laude, University of Amsterdam), I built an agent-based model of poverty traps in socio-economic networks. I also applied manifold learning to high-dimensional survey data and ran large-scale simulations on a supercomputer. This work was published at the International Conference on Computational Science (ICCS 2023), and a second paper is under review. In industry, I have: - developed ML-driven trading systems and real-time forecasting pipelines for the biofuel market as a Data Scientist at Olyx - designed and fine-tuned BERT-based models for automated grading of written responses as a Natural Language Engineer at Cognii - built NLP systems for user intent prediction, named entity recognition and chatbots at NTENT Most recently, I worked as a freelance AI Research Fellow with Handshake AI. I helped train frontier large language models in machine learning and computer science, including adversarial prompting and agentic coding tasks. I can help with: - machine learning and NLP modeling, including LLM fine-tuning and evaluation - agent-based modeling and simulation of complex systems - time-series analysis and forecasting - statistical analysis and data science for research projects - automating data pipelines and business processes with AI - reviewing or co-developing computational methods for papers and grants I work mainly in Python (PyTorch, TensorFlow, scikit-learn, Numba) and SQL. I have a BSc in Cognitive Science (Machine Learning and Neural Computation) from UC San Diego. I'm a native speaker of both English and French, and I communicate clearly with technical and non-technical audiences.

Subject Matter Expertise

• ☆ Data Analysis
• ☆ Social Network Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Python

Services

• Research
• Data & AI

Research Scientific and Technical Research

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

Work Experience

Doctoral Candidate

University of Amsterdam

October 2024 - Present

Amsterdam Institute for Global Health and Development

October 2024 - Present

Education

Doctoral Program

University of Amsterdam

October 2024 - Present

Masters of Science

University of Amsterdam

September 2021 - August 2023

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Charles Dupont, Debraj Roy (2025). Emergent poverty traps at multiple levels impede social mobility . Humanities and Social Sciences Communications.