Summary
Chloe Gao is a Machine Learning undergraduate researcher and Computer Engineering and Mathematics student at the University of Virginia, graduating in 2027 with a 3.89 GPA. She applies ML to semiconductor materials research, blending hardware-aware engineering from experiences like MIT Beaver Works and an internship at ST Engineering iDirect. With eight years of practical experience starting from high-school-level achievements, she brings a strong foundation in embedded systems, hardware hacking, and applied ML. Based in Vienna, VA, Chloe pairs rigorous academic performance with hands-on lab and industry work, positioning her to bridge device-level engineering and data-driven modeling.
8 years of coding experience
GPA: 4.59, GPA: 4.59 at Mclean High School
The University of Hong Kong (HKU)
Embedded Systems and Hardware Hacking, Embedded Systems and Hardware Hacking at MIT Beaver Works Summer Institute
Bachelor of Engineering - BE, Computer Engineering, 3.89, Bachelor of Engineering - BE, Computer Engineering, 3.89 at University of Virginia
Chinese