Summary
Diego Solano is a Junior Data Scientist based in Munich with nine years of multidisciplinary experience bridging industrial biotechnology, bioprocess engineering, and data-driven product development. Trained at TUM (MSc Industrial Biotechnology) and experienced in hands-on upstream/downstream processes, his master’s thesis developed a digital twin for large-scale protein purification, reflecting a strong blend of lab competence and simulation/analytics. He has applied those skills across academia and industry—from AAV production and CRISPR work to bioreactor operation and supply-chain forecasting—while transitioning into data science and AI through roles in venture support and his current position at AurumCars. Diego pairs technical lab experience with business-savvy project management and a growing focus on AI in pharma, informed by an MIT Sloan short course, making him effective at translating complex biological systems into actionable data insights. An HPC doctoral researcher origin from Costa Rica hints at deep computational aptitude behind his wet-lab roots, enabling him to tackle scalable bioinformatics and simulation challenges.
9 years of coding experience
1 year of employment as a software developer
Short course Artificial Intelligence in Pharma and Biotech, Short course Artificial Intelligence in Pharma and Biotech at MIT Sloan Executive Education
Master of Science - MS Industrial Biotechnology, Master of Science - MS Industrial Biotechnology at Technical University of Munich
Erasmus Semester, Erasmus Semester at Politecnico di Milano
Bachelor of Science - BS Molecular Biotechnology, Bachelor of Science - BS Molecular Biotechnology at Heidelberg University
Spanish, English, German, French, Italian