Mikel Landajuela
About Mikel Landajuela
Mikel Landajuela is a Team Lead at Lawrence Livermore National Laboratory, specializing in interpretable machine learning for scientific discovery and pioneering protein design for medical countermeasures. He holds a Ph.D. in Computational and Applied Mathematics and has extensive experience in research and mentorship across various prestigious institutions.
Work at Lawrence Livermore National Laboratory
Mikel Landajuela currently holds the position of Team Lead at Lawrence Livermore National Laboratory (LLNL), where he has been employed since 2023. Prior to this role, he served as a Senior Staff Scientist in Machine Learning from 2022. His tenure at LLNL also includes positions as a Staff Scientist in Machine Learning from 2020 to 2022 and as a Postdoctoral Researcher from 2018 to 2020. In these roles, he has focused on advancing interpretable machine learning and has led projects aimed at pioneering protein design for medical countermeasures.
Education and Expertise
Mikel Landajuela has a strong academic background in mathematics and scientific computing. He earned a Bachelor of Science and a Master of Science in Applied Mathematics from Universidad del País Vasco/Euskal Herriko Unibertsitatea, completing his studies from 2007 to 2012. He furthered his education by obtaining a Doctor of Philosophy (Ph.D.) in Computational and Applied Mathematics from Pierre and Marie Curie University from 2012 to 2015. Additionally, he participated in a European Exchange Program at Utrecht University, focusing on Scientific Computing from 2011 to 2012.
Background
Mikel Landajuela began his career with a research internship at BCAM - Basque Center for Applied Mathematics in 2011, where he worked for three months in the Bilbao Area, Spain. Following this, he pursued his Ph.D. at Inria in the Paris Area, France, from 2012 to 2015. After completing his doctoral studies, he worked as a Postdoctoral Researcher at Politecnico di Milano from 2016 to 2018 in Milan, Italy, before joining LLNL.
Achievements
Mikel Landajuela holds multiple awards and patents for his contributions in the fields of machine learning and scientific computing. He has published research in top-tier journals and conferences, showcasing his expertise and influence in the scientific community. His work emphasizes the importance of interpretable machine learning and its applications in scientific discovery.
Collaboration and Mentorship
Mikel Landajuela actively engages in collaboration with scientists and engineers, providing mentorship opportunities. His leadership in projects and teams at Lawrence Livermore National Laboratory fosters an environment of knowledge sharing and innovation, contributing to the advancement of research in machine learning and its applications.