Beverly Klemme
About Beverly Klemme
Beverly Klemme is a Machine Learning Researcher at Falkonry, where she has worked since 2019. She holds multiple advanced degrees in Computer Science and Physics, and has extensive experience in research and technical leadership across various institutions.
Work at Falkonry
Beverly Klemme has been employed at Falkonry as a Machine Learning Researcher since 2019. In this role, she contributes to the development and implementation of machine learning models, focusing on enhancing the company's analytical capabilities. Falkonry is located in Sunnyvale, California, where Klemme applies her expertise in machine learning to solve complex problems.
Education and Expertise
Beverly Klemme has a strong educational background in computer science and physics. She studied at Udacity, where she completed a Nanodegree in Deep Learning. Klemme earned her Doctor of Philosophy (Ph.D.) in Computer Science from Arizona State University, with studies spanning from 2024 to 2029. Additionally, she holds a Master's Degree in Computer Science from the University of New Mexico, achieved from 2014 to 2016. Her earlier academic pursuits include a Ph.D. in Experimental Condensed Matter Physics from UCLA, completed from 1991 to 1997.
Professional Background
Beverly Klemme has held several positions throughout her career. She worked as a Technical Project Leader at Sandia National Laboratories from 2004 to 2013. Prior to that, she served as a Physicist at NIST for one year in 1999-2000. Klemme also has experience in academia, having been a Postdoctoral Fellow at the University of New Mexico from 1997 to 1999 and a Graduate Student and Research Assistant there from 2014 to 2015. Additionally, she completed a three-month internship at Intel Corporation in 2014.
Research and Development Experience
Throughout her career, Beverly Klemme has engaged in various research and development roles. At Sandia National Laboratories, she led technical projects, contributing to advancements in her field. Her experience as a Graduate Student and Research Assistant at the University of New Mexico involved hands-on research, which further developed her skills in machine learning and computer science. Klemme's background in both industry and academia provides a comprehensive foundation for her current work in machine learning.