Yaqi Xie
Postdoctoral Researcher at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolYaqi Xie is a postdoctoral researcher at Carnegie Mellon University, specializing in machine learning, artificial intelligence, and robotics. Based in Pittsburgh, she brings eight years of research and industry experience, merging rigorous ML theory with practical robotics applications. She earned a PhD in Computer Science (Artificial Intelligence) from the National University of Singapore with a GPA of 4.92/5 and holds a Summa Cum Laude BEng in Data Analysis from SUTD, including an engineering exchange stint at MIT. Her early career includes technology internships at J.P. Morgan and Citi, illustrating strong cross‑sector collaboration. Since 2023 she has been advancing CMU's robotics and AI initiatives, spanning theory, experiments, and systems integration. Her diverse training—from MIT exchanges to top AI research—gives her a rare blend of academic depth and hands-on deployment focus, positioning her to drive impactful AI-powered robotics research.
8 years of coding experience
Bachelor's degree of Engineering, Data Analysis, GPA 4.92 out of 5 (Summa Cum Laude), Bachelor's degree of Engineering, Data Analysis, GPA 4.92 out of 5 (Summa Cum Laude) at Singapore University of Technology and Design (SUTD)Exchange, Engineering, Exchange, Engineering at Massachusetts Institute of TechnologyDoctor of Philosophy - PhD, Computer Science (Aritificial Intelligence), GPA 4.92 out of 5, Doctor of Philosophy - PhD, Computer Science (Aritificial Intelligence), GPA 4.92 out of 5 at National University of Singapore
English, Chinese
Github Skills (15)
simulation4
simulations4
python-34
benchmark3
python3
alfred3
benchmarking3
pddl3
physics3
parser2
mujoco2
physics-engine2
parse2
arm1
robotics1
Programming languages (3)
Github contributions (5)
ZiweiXU/LENSR
May 2019 - Mar 2020
Contributions:11 commits, 10 pushes, 1 tag in 9 months
YaqiXie/misc
May 2022 - May 2022
Contributions:1 push, 1 branch in 6 days
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