Max Lalleman

💼 Professional experience

Agilytic

Data Scientist

Since 2026

University of Antwerp

Doctorate in Physics: data analysis of gravitational waves 2021-2025

• Development of a Python-based data analysis framework exploiting cross-correlation which combined statistical methods using both a frequentist and Bayesian approach for parameter estimation

Python (scipy, numpy, pandas, matplotlib)

• The parallelization of this analysis framework on a high-throughput computing cluster

HTCondor (DAG files, somewhat similar to Apache Spark) via Python

• Inventing and development of new Bayesian-based statistical data analysis method combining multiple different gravitational-wave data sources to infer whether the mass distribution of these sources is constant or not. This process was optimized using GPU’s on a computing cluster.

Python (numpy, scipy, jax, pandas, numpyro, matplotlib)

• Monitoring and mitigating noise features in a gravitational-wave detector via a database of such features. The unknown noise features were searched for using a coherence method in the surrounding environmental channels.

Python (scipy, numpy)

• Participated in multiple science-communication events to explain research topics to non-experts:
• PRESS>SPEAK
• Einstein Telescope @ Nerdland
• Dag van de Wetenschap in Antwerp

🦾 Certifications, trainings

Methodologies

• Data & statistical analysis
• Machine learning & deep learning
• Generative AI
• Cloud computing

Software & programming

• Python, MATLAB
• SQL
• bash
• Docker
• Mathematica
• git
• Power BI

Certifications

• Microsoft Certified: Azure Fundamentals

🎓 Academic credentials

• Doctorate in Science: Physics

Universiteit Antwerpen, 2025

• MSc in Physics and Astronomy, major in Research. Vrije Universiteit Brussel, 2021

🇺🇳 Languages

🇳🇱 Dutch: native

🇬🇧 English: fluent

🇫🇷 French: good