Summary
Alin Chitu is an AI Team Lead and PhD-level machine learning scientist with 11 years of experience bridging academic research and industry to build production-ready AI systems across domains from geosciences and energy transition to microbiology and brain–computer interfaces. He leads AI development at Zander Labs and has steered technology and ML teams at Biodentify and TNO, translating novel algorithms into tools for reservoir optimization, DNA-based hydrocarbon prediction, and EEG-based applications. Comfortable as a hands-on engineer and “playing coach,” he combines deep theoretical training in applied mathematics and statistics with extensive software architecture and implementation experience in Python and C#. Notably, his work spans data assimilation, production optimization and bioinformatics, reflecting a rare ability to move ideas from lab prototypes to client-facing analytics. Based in The Hague, he’s driven by a perpetual curiosity for science and a focus on making complex neuro- and bio-data actionable for real-world problems.
11 years of coding experience
9 years of employment as a software developer
TU Delft
Master, Applied Computer Science, Master, Applied Computer Science at University of Bucharest
Romanian, Dutch, English