© 2016 by Berkeley Applied Analytics, LLC

ABOUT

At Berkeley Applied Analytics, we believe business is about people--our clients, our employees, and our communities. We are a small, driven group of individuals organized into interdisciplinary teams to deliver high-impact solutions, operating with great levels of integrity, transparency, and quality. We believe our success is intrinsically linked to providing customized solutions that meet our clients’ unique needs and, therefore, provide a breadth of options to meet the desired application.

Daniel H. Chivers, Ph.D.
Founder and CEO

Dan Chivers is a founding partner and serves as CEO and Chief Scientist with Berkeley Applied Analytics, where he directs strategic development and project management under Departments of Defense and Homeland Security funding. Dr. Chivers is a veteran of the US Nuclear Navy and brings more than 20 years experience in nuclear and radiation sensing R&D. Prior to founding Berkeley Applied Analytics, Dr. Chivers served as the Nuclear Security Technologies Group Leader within the Applied Nuclear Physics Program at Lawrence Berkeley National Laboratory.

Michael King, Ph.D.
Staff Scientist

Michael King serves as Staff Scientist with Berkeley Applied Analytics, where he develops innovative radiation sensor concepts. Dr. King has more than seven years of experience in R&D of advanced passive and active radiation detection systems for national security applications.  Prior to Berkeley Applied Analytics, he was a scientist at Rapiscan Laboratories managing various Exploratory Research Projects funded by the Domestic Nuclear Detection Office (DNDO) Transformational and Applied Research Directorate. His areas of focus included active interrogation techniques for the detection SNM in cargo containers, gamma-ray and neutron detection systems, neutron kinetics and Monte Carlo modeling of full inspection systems.

Austin Kuhn, Ph.D.
Founder and COO/CFO

Austin Kuhn is a founding partner and serves as Chief Operating and Financial Officer with Berkeley Applied Analytics, where he is in charge of business operations and logistical planning. Dr. Kuhn has more than 15 years of experience in project and program management within federally funded R&D programs, spending the majority of his career researching and developing nuclear and radiological detection systems.  Prior to Berkeley Applied Analytics, he worked seven years with the Department of Homeland Security as a program manager in the Transformational and Applied Research Directorate at the Domestic Nuclear Detection Office (DNDO)

Rich Petras, M.S.
Staff Senior Engineer

Rich Petras serves as a Staff Senior Engineer with Berkeley Applied Analytics, where he leads the development and application of software that interfaces with radiation sensor hardware and other physical sensors to provide real time data in networked radiation detection systems.  Mr. Petras has more than thirty years of experience in advanced embedded systems software engineering.  Prior to Berkeley Applied Analytics, he served as an engineer with SpaceX, JPL, and Loral Space Information Systems.  He has developed systems for the Space Shuttle, International Space Station, JPL Spirit and Opportunity Rovers, and the SpaceX Dragon capsule.  Mr. Petras received a B.S. in Mechanical Engineering from Drexel University, and M.S. in Space Sciences from the University of Houston.

Jack Linkous, M.S.
Staff Engineer

Jack Linkous serves as a Staff Engineer with Berkeley Applied Analytics, where he supports radiation detector development and nuclear data analytics efforts. He has experience in research and development in experimental nuclear physics, and post processing algorithms. Prior to Berkeley Applied Analytics, he worked with NCSU and ORNL to implement image reconstruction methods for ORNL's neutron coded-aperture imager (NCAI) to differentiate between images acquired from spontaneous fission sources, and subcritical masses of fissile material. Jack received his M.S.E. and B.S.E. in Nuclear Engineering and Radiological Sciences from the University of Michigan.