Summary
Javier Klett is an applied computational scientist with 8 years of experience blending bioinformatics, molecular modeling and data-driven methods to solve drug discovery and biological chemistry problems. Currently an Advanced Mathematics Senior Scientist at Repsol Technology Lab and an adjunct professor in biomedical engineering at Universidad Carlos III de Madrid, he brings both industrial R&D and academic mentoring to interdisciplinary projects. His background includes a PhD-driven track record at CNIO managing chemical libraries, high-throughput and virtual screening pipelines, and automation with liquid-handling robots. He has a solid foundation in mathematics, biophysics and bioinformatics and a history of applying ML/AI to real-world problems dating back to early work at Telefónica I+D. Notably, he moves comfortably between hands-on algorithm and database development and the orchestration of lab-scale experimental workflows, making him effective at turning computational insight into experimental action.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at Universidad Autónoma de Madrid
English, Spanish