Michael Lujan, PhD
About Michael Lujan, PhD
Michael Lujan, PhD, is a Principal Data Scientist with extensive experience in statistical modeling and optimization algorithms. He has previously held positions as a Physics Instructor and Research Assistant at The George Washington University, and as a Senior Consultant at LMI.
Current Role at LMI
Michael Lujan serves as Principal Data Scientist at LMI, a position he has held since 2020. In this role, he focuses on developing data-driven solutions to address complex challenges, particularly for the Department of Defense. His responsibilities include leveraging statistical modeling, simulations, and optimization algorithms to enhance decision-making processes and operational efficiency.
Previous Experience at LMI
Prior to his current role, Michael Lujan worked at LMI as a Senior Consultant and Data Scientist from 2014 to 2020. During this six-year tenure, he contributed to various projects that required advanced analytical skills and expertise in data science. His work involved collaborating with teams to implement innovative solutions tailored to client needs.
Academic Background
Michael Lujan completed his Bachelor of Science (B.S.) in Physics at California Polytechnic State University-San Luis Obispo from 2003 to 2007. He furthered his education at The George Washington University, where he earned a Doctor of Philosophy (Ph.D.) in Nuclear Physics, studying from 2007 to 2014. His academic background provides a strong foundation for his work in data science and complex problem-solving.
Teaching Experience
In addition to his role at LMI, Michael Lujan serves as an adjunct Professor of Physics at The George Washington University. This position allows him to share his knowledge and expertise with students, contributing to their academic development and fostering interest in the field of physics.
Research and Instruction at The George Washington University
Michael Lujan worked at The George Washington University Columbian College of Arts & Sciences from 2010 to 2014 as both a Physics Instructor and a Research Assistant. In these roles, he engaged in teaching and research activities that enhanced his understanding of physics and its applications, while also preparing him for his future career in data science.