Ke Xiao
Teaching Assistant at University of Massachusetts Amherst
Amherst, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolKe Xiao is a PhD student and teaching assistant at UMass Amherst specializing in computer vision, machine learning, and weak supervision with eight years of hands-on experience spanning academia and industry. He has driven medical imaging research on cardiac MRI—coauthoring a Nature Communications paper on aortic valve malformation classification—and built probabilistic genomics models during internships at Invitae. Comfortable across Python, C/C++, PyTorch/TensorFlow, ROS, LiDAR and Linux, he combines practical systems skills with probabilistic and deep learning methods to tackle noisy-label and rare-disease problems. Ke regularly teaches graduate courses in secure distributed systems, optimization, and probabilistic graphical models, reflecting strong communication and mentoring abilities. He is goal-oriented and thrives on challenging, interdisciplinary problems at the intersection of AI and robotics.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Beihang UniversityMaster's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at Colorado School of MinesDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts Amherst
Chinese, English, Spanish, Japanese
Github Skills (8)
natural-language-processing2
weakly-supervised-learning2
machine-learning2
metal1
pytorch1
deep-learning1
weak-supervision1
snorkel1
Programming languages (1)
Github contributions (5)
HazyResearch/ukb-cardiac-mri
May 2018 - Aug 2019
Contributions:17 commits, 14 pushes in 1 year 2 months
kexiao17/kexiao17.github.io
Mar 2020 - Mar 2022
Contributions:25 pushes, 1 branch in 2 years
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