Summary
Saibal De is an applied mathematician and computational scientist with nine years of experience developing high-performance algorithms and reduced-order models for complex engineering problems. Currently an R&D S&E in Computer Science at Sandia National Laboratories after a postdoctoral appointment there, he specializes in fast algorithms, uncertainty quantification, and scalable numerical methods. His Ph.D. from the University of Michigan reflects deep training in scientific computing and interdisciplinary applied math, complemented by a B.Sc. Research in Mathematics from IISc. Saibal combines research rigor with production-focused coding practices, enabling transfer of novel methods into high-performance computing environments. Based in Livermore, CA, he brings a mix of academic and national-lab experience that’s well suited to bridging theory and deployable computational science. An understated strength is his history of teaching and mentoring, which sharpens his ability to communicate complex numerical ideas to diverse technical audiences.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Applied and Interdisciplinary Mathematics and Scientific Computing, Doctor of Philosophy (Ph.D.), Applied and Interdisciplinary Mathematics and Scientific Computing at University of Michigan - Rackham Graduate School
Bachelor of Science (B.Sc. Research), Mathematics, Bachelor of Science (B.Sc. Research), Mathematics at Indian Institute of Science
High School, Science, High School, Science at Bankura Zilla School
English, Bengali, Hindi