Andrew Hilton is an Associate Professor of the Practice in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering, where he has been teaching since 2012. Before joining Duke, he worked as an advisory engineer at IBM. One of the key courses he teaches is ECE 551, an intensive introduction to programming designed to equip graduate students with no prior experience to master programming and tackle advanced courses. In 2015, Professor Hilton received the Klein Family Distinguished Teaching Award for his excellence in teaching. He holds a Ph.D. in Computer Science from the University of Pennsylvania.

Dr. Genevieve M. Lipp is an Assistant Professor of the Practice in the Electrical and Computer Engineering and Mechanical Engineering and Materials Science departments at Duke University. She teaches a variety of courses, including programming in C++, dynamics, control systems, and robotics. Dr. Lipp is passionate about integrating technology into education to enhance learning outcomes and has previously worked in the Center for Instructional Technology at Duke. She holds a Ph.D. in mechanical engineering, focusing on nonlinear dynamics, as well as a B.S.E. in mechanical engineering and a B.A. in German, both from Duke University. In addition to her teaching responsibilities, she serves as the Director of the Duke Engineering First Year Computing program, where she focuses on improving computing education within the engineering curriculum and fostering students' self-efficacy in their studies.

Dr. Nick Eubank is an Assistant Research Professor at the Duke Social Science Research Institute (SSRI), where he focuses on political accountability. His research examines two key aspects: the factors that influence citizens' ability to hold politicians accountable and the strategies employed by political elites to undermine accountability mechanisms. Dr. Eubank's work encompasses various topics, including gerrymandering, social networks, election administration, and issues related to race and incarceration. He holds a Ph.D. from Stanford University and is also the Associate Director of the Rhodes Information Initiative at Duke, where he contributes to advancing research and education in data science and its applications in social sciences. His interdisciplinary approach aims to enhance understanding of democratic processes and improve governance through informed citizen engagement.

Dr. Kyle Bradbury is an Assistant Research Professor in the Department of Electrical and Computer Engineering at Duke University, where he also serves as the Managing Director of the Energy Data Analytics Lab. His research focuses on applying machine learning and statistical modeling techniques to address energy-related challenges, particularly in modeling the reliability and cost trade-offs of energy storage systems for integrating renewable sources like wind and solar power into the grid. Dr. Bradbury completed his Ph.D. at Duke University, specializing in energy systems modeling, and holds a Master’s degree in Electrical Engineering from Duke, where he concentrated on statistical signal processing and machine learning, as well as a Bachelor’s degree in Electrical Engineering from Tufts University. His professional experience includes roles at ISO New England, MIT Lincoln Laboratories, and Dominion Energy. Dr. Bradbury is also involved in teaching various courses related to data science and machine learning at Duke, contributing to the education of future engineers and researchers in the field.