I’m a PhD candidate in High-Energy Physics working on real-time machine learning systems for nanosecond-scale decision making. My research focuses on FPGA-optimized neural architectures, hardware-native online learning, and large-scale statistical analyses for precision Higgs measurements. Recently, I’ve been looking at extending these techniques toward quantum–classical integration for scalable quantum technologies.
Beyond research, having grown up in Central Vietnam, I’m deeply committed to expanding access to technology education in underserved communities. I currently lead SEAS — Summer in Engineering and Applied Sciences, an initiative aimed at improving STEM education access in Central Vietnam: 👉 https://seas-cvn.com/
Research collaborations: dhoang [at] mit [dot] edu
Education & outreach initiatives in underserved regions: feel free to reach out
My CV is available upon request via email.