David Widemann
About David Widemann
David Widemann is a Principal Solutions Architect at Lightmatter, where he leverages his expertise in machine learning and signal processing to develop solutions for software engineers. He has a diverse background in research and academia, including roles at Lawrence Livermore National Laboratory and SRI International, and holds a Ph.D. in Computational and Applied Mathematics from the University of Maryland.
Work at Lightmatter
David Widemann currently serves as Principal Solutions Architect at Lightmatter, a position he has held since 2022. In this role, he utilizes his expertise in machine learning and signal processing to prototype solutions for software engineers. He also collaborates with the sales team to design contracts and establish collaboration goals that align with client business strategies. Prior to this role, he worked as a Machine Learning Scientist at Lightmatter since 2021, where he focused on enhancing machine learning applications through photonic chip technology.
Education and Expertise
David Widemann earned his Doctor of Philosophy (Ph.D.) in Computational and Applied Mathematics from the University of Maryland College Park, completing his studies from 2005 to 2008. He also holds a Master of Arts (M.A.) in Mathematics from the same institution, which he obtained from 1999 to 2001. Earlier, he received a Bachelor of Arts (B.A.) in Mathematics from UC Berkeley, studying from 1991 to 1995. His educational background supports his expertise in machine learning and signal processing.
Background
Before joining Lightmatter, David Widemann held various positions in research and education. He worked as a Machine Learning Researcher at Lawrence Livermore National Laboratory from 2014 to 2021. His earlier roles include serving as a Senior Researcher at SRI International from 2009 to 2014, a Bioinformatics Analyst at the J. Craig Venter Institute for a brief period in 2008, and a Mathematics Instructor at Napa Valley College from 2001 to 2005. He also worked as a Research Assistant at The Norbert Wiener Center from 2005 to 2008.
Professional Experience
David Widemann has extensive professional experience in both research and education. His role as a Machine Learning Researcher at Lawrence Livermore National Laboratory involved applying machine learning techniques to various projects over seven years. At SRI International, he contributed as a Senior Researcher for five years. His teaching experience as a Mathematics Instructor at Napa Valley College further complements his technical background, allowing him to effectively communicate complex concepts in mathematics and machine learning.