Edward A. Preble
Research Data Scientist, Center for Data Science
- MS, Analytics, Institute for Advanced Analytics, North Carolina State
- PhD, Materials Science and Engineering, North Carolina State University
- MS, Nuclear Engineering, North Carolina State University
- BS, Mechanical Engineering, Worcester Polytechnic Institute
Edward Preble applies machine learning, predictive modeling, text analytics, data visualization, and interactive reporting to solving problems in the social sciences, public health, and engineering sciences. Dr. Preble partners with RTI’s wide variety of subject matter experts to extract information from complex data sets and use advanced analytics to reveal new insights. In addition to applying data science to problem-solving, Dr. Preble contributes to research proposals and the publication of interesting technical results and analytic techniques.
Prior to joining RTI, Dr. Preble worked in the semiconductor research industry, focusing primarily on physics and materials science-related challenges in the bulk crystal growth of wide-bandgap semiconductors. Industry applications for wide-bandgap semiconductors focus on devices with improved energy efficiency, higher operation frequency, higher power density, and pulsed power capability that are not possible to achieve with narrow bandgap materials such as silicon and GaAs. Common device applications for wide bandgap semiconductor materials include light emitting diodes (LEDs), lasers, schottky diodes, and field effect transistors. Dr. Preble gained direct work experience with Aluminum Nitride (AlN) at HexaTech and with Gallium Nitride (GaN) at Kyma Technologies, where he held executive management level COO, CMO and CTO positions. Dr. Preble also founded DataTrend Software, a company that markets digitizing software to help streamline and automate analysis of preexisting graphical data.