Michael Buksas
About Michael Buksas
Michael Buksas is a computer scientist at Sandia National Laboratories with a strong background in applied mathematics and extensive experience in high-performance computing and scientific modeling.
Current Position at Sandia National Laboratories
Michael Buksas is currently a Computer Scientist at Sandia National Laboratories in Albuquerque, New Mexico. He joined the institution in 2023. His role involves utilizing his extensive expertise in high-performance computing and applied mathematics to develop solutions for various scientific domains.
Previous Experience at Stellar Science Ltd Co
From 2013 to 2023, Michael Buksas worked as a Modeling and Simulation Analyst and Software Engineer at Stellar Science Ltd Co in Albuquerque, New Mexico. During his tenure, he focused on developing advanced simulation models and high-performance C++ code, particularly for Department of Energy (DoE) and Department of Defense (DoD) supercomputers.
Senior Software Engineer at NumeriX
Michael served as a Senior Software Engineer at NumeriX in the Santa Fe, New Mexico area from 2011 to 2012. Over 11 months, he leveraged his software development skills and mathematical knowledge to contribute to the company's computational software solutions.
Work at Los Alamos National Laboratory
Michael Buksas had significant roles at Los Alamos National Laboratory spanning over a decade. From 2001 to 2011, he was a Staff Scientist involved in various scientific research projects in Los Alamos, New Mexico. Before that, from 1998 to 2001, he worked as a Postdoctoral Research Associate at the same institution.
Educational Background in Mathematics
Michael Buksas has a strong academic background in mathematics. He completed his Ph.D. in Mathematics at North Carolina State University from 1993 to 1998. Prior to this, he earned his B.S. in Mathematics from Harvey Mudd College, graduating in 1993 after four years of study.
Development of Scientific Solutions
Throughout his career, Michael Buksas has developed solutions for complex scientific domains such as electromagnetic simulation, radiation flow, hydro-geology, and orbital dynamics. His expertise allows him to create effective computational models and simulations.
Expertise in High-Performance Computing
Michael Buksas has extensive experience developing high-performance C++ code, particularly for Department of Energy (DoE) and Department of Defense (DoD) supercomputers. His work in this area contributes to the advancement of large-scale scientific computing.
Advocate for Software Quality and Engineering Practices
Michael advocates for high software quality and implements good engineering practices and software design principles in his projects. His commitment to these practices ensures robust and reliable computational solutions.
Exploration of Machine Learning in Physics and Engineering
Michael Buksas explores the impact of machine learning on modeling in physics, engineering, and decision science. He integrates machine learning techniques into traditional computational models to enhance their accuracy and efficiency.