Summary
Diego Arribas is a Senior Data Scientist with a PhD in Computational Neuroscience and seven years of experience building probabilistic and ML-driven solutions for high-impact products. He has led end-to-end credit and loan risk modeling at Nubank—designing ETL pipelines in Spark/Scala and models that influence lending decisions for millions of customers—and now applies his expertise at SwissBorg. His background blends rigorous Bayesian and causal inference research (published in eLife, NeurIPS, PLOS Biology) with practical engineering skills in deep learning, NLP, generative AI, and time-series forecasting. Diego often translates theoretical advances into production-ready code and libraries (including a PyTorch toolkit for autoregressive sampling), making him adept at bridging research and scalable product delivery. Based in Portugal, he brings a rare combination of academic depth and fintech product ownership, with a track record of turning complex probabilistic models into operational systems.
7 years of coding experience
4 years of employment as a software developer
PhD, Computational Neuroscience, PhD, Computational Neuroscience at University of Buenos Aires
Spanish, English, Portuguese, German