Michael Lam

Michael Lam is an Associate Professor in the Department of Computer Science and Interim Assistant Dean of the College of Integrated Science & Engineering (CISE) at James Madison University (JMU). He holds a Ph.D. and M.S. in Computer Science from the University of Maryland (2014 and 2010, respectively), and a B.S. in Computer Science from JMU (2007). His research focuses on high-performance computing, scientific computing, and software engineering, with a particular emphasis on precision computing and algorithm optimization.

Dr. Lam's work includes developing tools for mixed-precision analysis, such as HPC-MixPBench, and advancing techniques like ADAPT (Algorithmic Differentiation for Floating-Point Precision Tuning). His contributions span both computational theory and pedagogy, including innovative approaches to online systems education and curriculum design. He has held roles such as Post-doctoral Researcher at the University of Maryland and Graduate Research Intern at Lawrence Livermore National Lab.

His research trends emphasize energy-efficient computing paradigms, automated precision tuning, and bridging the gap between theoretical algorithms and practical software implementation. While no awards are explicitly listed, his extensive publication record reflects sustained excellence in high-performance computing and educational innovation.

As Interim Assistant Dean of CISE, Lam contributes to interdisciplinary initiatives and program development. His advising and grant activities are reflected in his scholarly work, though specific grant details are not provided here.