Biomedical Data Scientist

Technical Skills: Python, SQL, PySpark, TensorFlow, PyTorch, scikit-learn, Docker, Airflow, GCP, Azure

Education

Data Science & ML Engineering Trainee BeCode, Liège (2024)
Ph.D., Biomedical Sciences (Cancer & Immunology) ULiège, Belgium (2019 – 2024)
M.Sc., Biomedical Sciences ULiège, Belgium (2016 – 2019)
B.Sc./M.Sc., Biology Sorbonne University, France (2006 – 2013)

Work Experience

Data Scientist @ Comunicare (Liège, Jul 2025 – Present)

Designed and applied ML workflows to bulk RNA-seq datasets for biomarker discovery in oncology & rare diseases
Built reproducible pipelines for preprocessing, QC, and statistical analysis
Collaborated with interdisciplinary teams to translate findings into actionable biomedical insights

Data Engineer Intern @ Veolia Benelux (Brussels, Jan – Mar 2025)

Queried and analyzed large datasets using BigQuery and SQL
Built scalable pipelines on GCP to process operational data
Automated dashboards in Looker Studio, improving reporting efficiency

Data Science Trainee @ BeCode (Liège, May 2024 – Mar 2025)

Developed predictive ML models with scikit-learn and XGBoost
Deployed interactive apps with Streamlit
Automated ETL workflows with Apache Airflow
Processed large datasets using PySpark for anomaly detection (Orange Belgium use case)
Built NLP pipelines with BERT and NLTK

Research Experience

Junior Biomedical Researcher – GIGA-Cancer, ULiège, Belgium (Sept 2019 – May 2024)

Conducted RNA-seq analysis using R/Bioconductor and Seurat for spatial transcriptomics
Automated image analysis workflows with QuPath; applied deep learning models to immunofluorescence data
Published as first and co-author in peer-reviewed journals; presented work at international conferences
Collaborated with bioinformatics, clinical, and engineering teams on translational research projects

Laboratory Intern – GEC, GIGA-MBD, ULiège, Belgium (Apr – Jun 2018, Jan – Aug 2019)

Gained autonomy in experimental design and execution
Trained in advanced analytical techniques and scientific methodology
Contributed to data analysis, interpretation, and scientific writing
Built strong proficiency in lab techniques and computational tools

Projects

🦷 Bruxism Wearable – Hackathon Winner

Developed a biosignal-processing device to detect and diagnose bruxism. Awarded the Hardware Innovation Prize (Voxdale) at Hacking Health Liège 2025.

📰 RTBF Article Analyzer

Built a BERT-based NLP pipeline for topic modeling and sentiment analysis on media articles, including named entity recognition, temporal trend analysis, and interactive dashboards.

🏠 House Price Prediction Engine

Created a Streamlit web app to predict real estate prices with an XGBoost pipeline, including feature engineering, evaluation, and SHAP-based interpretability.

🍷 Wiwino Project

Applied machine learning to wine market data, performing exploratory analysis, regression modeling, clustering for market segmentation, and insight visualization.

🎮 Hangman

Implemented the classic Hangman game in Python using OOP principles, with unit tests and CI setup to showcase clean coding and reproducible project structure.

⚽ Football Match Prediction Pipeline

Built an end-to-end pipeline with Airflow + PostgreSQL + Streamlit to scrape match statistics, train machine learning models, and deploy real-time predictions.

📊 Orange Belgium Data Quality

Developed a scalable PySpark-based anomaly detection system, processing millions of telecom records to identify errors and ensure data quality at scale.

Talks & Conferences

Poster: Tregs independent GARP functions in the TME – Lymphatic Forum (Banff, Canada, 2023)
Short talk: Tregs independent GARP functions in the TME – French Society of Angiogenesis (Nantes, France, 2022)
Hackathons: Hacking Health Liège 2025 (Hardware Innovation Prize), Citizen of Wallonia 2022

Publications (Selected)

Rouaud, L. et al. (2023). Spatial distribution of non-immune cells expressing GARP in metastatic lymph nodes. Cancers. DOI
Pirson, S., Rouaud, L. et al. (2025). AXL promotes lymphangiogenesis via VEGF-C/AKT pathway. Cellular and Molecular Life Sciences. DOI
Thesis: Tregs independent GARP functions in the tumor microenvironment (2024). Link

➡️ Full list on Google Scholar. Link

Awards

🏆 Hardware Innovation Prize (Voxdale) – Hacking Health Liège 2025
🎓 FNRS Télévie Fellowships – 2019–2023

Contact

📧 Email: loic.rouaud@gmail.com
💼 LinkedIn: https://www.linkedin.com/in/loic-rouaud/
💻 GitHub: https://github.com/MrBroma
🧮 LeetCode: https://www.leetcode.com/mrbroma
🏅 HackerRank: https://www.hackerrank.com/@loic_rouaud