Samsung Austin Fellowship Recipients
David Roh is an undergraduate B.S. Honors Computer Science student, minoring in Mathematics and Cybersecurity (graduating May 2025). As the sole CS recipient of the Samsung Austin Semiconductor fellowship, he joined the SETH Lab to address challenges in securing the global semiconductor supply chain. His current research focuses on using machine learning to automate the extraction of circuitry diagrams from SEM images, significantly reducing reverse engineering time and ensuring hardware security.
David’s broader research interests lie in applying machine learning to diverse domains. His thesis, under Professor Gutierrez-Osuna in the PSI Lab, focuses on developing affordable hypoglycemia detection models using smartwatch data. He plans to pursue a Master’s Degree in Computer Science.
Previously, David interned at ASML, where he developed computer vision models that automated contamination detection in metrology sensors, cutting labor time by 95%. In his free time, he enjoys hackathons, bouldering, running, and playing Tetris.