Frank Geng

Frank Geng is a skilled software engineer with a strong background in machine learning and data analysis. Geng has interned at ZTE Corporation and TerraVision, Inc., developing AI algorithms and participating in impactful projects such as real-time vehicle identification using video processing technologies. As a Machine Learning Researcher at Duke Clinical Research Institute, Geng deployed a model to predict hospital readmission probabilities under Dr. David Carlson's mentorship. Frank led a data analysis team at Duke Impact Investing Group and contributed to the Bass Connections Research Program at Duke University by improving speech recognition accuracy. Geng holds a Bachelor's degree in Computer Science and Math from Duke University, with a commendable GPA of 3.94, and has experience working with reputable organizations such as Google and Microsoft.