Mikaela Uy is a researcher and recent Stanford CS PhD graduate with a decade of experience bridging academic research and applied computer vision systems. Now at NVIDIA, she brings deep expertise in machine learning, robotics, and real-time vision—skills sharpened by building ROS-based ROV control software, underwater diver detection pipelines, and robotics research projects across HKUST and Stanford. Her background spans rigorous theoretical training and hands-on engineering, from AVR microcontroller programming to designing production-oriented vision tools. Having interned in quant trading tooling and developed SQL-backed systems earlier in her career, she pairs analytical rigor with practical product sensibilities. Colleagues describe her work as focused on translating complex research into deployable systems that operate reliably in constrained, real-world environments.
10 years of coding experience
2 years of employment as a software developer
High School, High School at Saint Jude Catholic School
Master of Computing Computer Science, Master of Computing Computer Science at National University of Singapore
Hong Kong University of Science and Technology (HKUST)
Bachelor's degree Computer Science, Bachelor's degree Computer Science at ETH Zürich
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
English, chinese (mandarin / putonghua), Filipino, Chinese, chinese (hokkien)
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