I am Bruno Spilak, a Manager and Data Scientist with both academic background and professional experience. Originally from France, I relocated to Berlin, Germany in 2016 to complete my Master’s in Statistics, a program I began at the ENSAI Grande École in France. My career began in startups as a data scientist, gradually progressing to leadership positions and successfully managing teams at two FinTech companies, Dyos and AICOR.

Concurrently with my professional career, I continued my academic studies, completing a PhD in Statistics at Humboldt University in Berlin in 2023. I was part of the IRTG 1792 doctoral program, focusing on High Dimensional Nonstationary Time Series, founded by the German Research Foundation (DFG). Under the supervision of Professors Härdle and Packham, I authored my thesis titled “Tail risk protection via data adaptive strategies”, which introduces innovative machine learning-based methods for tail risk modeling with applications in trading.

In 2024, I returned to Paris, my hometown, and founded nodenAI. nodenAI is my AI and Data Science agency, dedicated to serving R&D needs and making machine learning technologies accessible to companies, regardless of their level of technical expertise.

Apart from being a scientist, I am a passionate climber and off-piste skier.