David Widemann

David Widemann's work experience includes:

- Principal Solutions Architect at Lightmatter since May 2022, responsible for understanding customer requirements and demonstrating the use of Lightmatter's photonic chip technology.

- Machine Learning Scientist at Lightmatter since May 2021, involved in machine learning and signal processing.

- Machine Learning Researcher at Lawrence Livermore National Laboratory from October 2014 to April 2021, focused on creating algorithms for various applications, including medical and physics simulations.

- Senior Researcher at SRI International from August 2009 to October 2014, developing detection and classification algorithms for sensor data.

- Krener Assistant Professor at U.C. Davis from June 2008 to July 2009, working with diffusion magnetic resonance imaging data for constructing 3-dimensional models of white matter in the human brain.

- Bioinformatics Analyst at J. Craig Venter Institute from May 2008 to August 2008, involved in modeling and statistical analysis of gene regulation.

- Research Assistant at The Norbert Wiener Center from January 2005 to January 2008, focused on dimensionality reduction for hyperspectral data.

- Mathematics Instructor at Napa Valley College from June 2001 to December 2005.

David Widemann earned a Bachelor of Arts (B.A.) degree in Mathematics from the University of California, Berkeley in 1995. David then pursued a Master of Arts (M.A.) degree in Mathematics at the University of Maryland from 1999 to 2001. Later, they completed their education with a Doctor of Philosophy (Ph.D.) in Computational and Applied Mathematics from the University of Maryland between the years 2005 and 2008.