Founded Curico, a nonprofit dedicated to making curiosity-driven learning accessible to every child via AI; Developed an automated hint-generation system for an introductory programming course; Built a color-blindness accessibility tool; Collaborated with an NGO in India to improve the efficiency of LED solar lanterns distributed to off-grid villages.
Research Experience
Currently a Technical Member of Staff at OpenAI; Previously a Research Scientist at Google DeepMind (formerly Google Brain), leading the Machine Learning for Machine Learning Compilers initiative and creating the XLA TPU autotuner to optimize daily production AI workloads.
Education
Earned a Ph.D. in Computer Science from UC Berkeley and a Bachelor’s degree from MIT. Recipient of Microsoft Research PhD Fellowship, Qualcomm Innovation Fellowship, and Thai Government Scholarship.
Background
Research interests span compilers, AI for systems, systems for AI, and sustainable computing. Aims to build efficient software systems through hardware-software co-design, making AI workloads faster, more power-efficient, and scalable.