Xing Han
Postdoctoral Fellow at The Johns Hopkins University
Baltimore, Maryland, United States
Summary
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Senior🎓
Top SchoolXing Han is a Postdoctoral Fellow at Johns Hopkins University specializing in statistical machine learning and deep learning, with nine years of research and industry experience. He earned a PhD in Machine Learning from UT Austin and brings a strong mathematical foundation plus extensive hands-on coding in Python, Java, MATLAB, PyTorch and TensorFlow. His work spans healthcare ML, forecasting for hierarchically aggregated data, resource allocation at Google Cloud AI, and applied research in recommendation systems and translation, showing an unusual blend of academic rigor and production-minded problem solving. Skilled in Bayesian/variational inference, MCMC, policy gradients, and adversarial methods, he also has hardware and signal-processing experience from earlier roles. A quick learner and multitasker, he contributes across research and applied settings and maintains an academic portfolio at aaronhan223.github.io.
9 years of coding experience
2 years of employment as a software developer
B.E., Electrical, Electronic and Communications Engineering Technology/Technician, Graduated with the First Class Honor, B.E., Electrical, Electronic and Communications Engineering Technology/Technician, Graduated with the First Class Honor at The University of EdinburghDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at The University of Texas at AustinHigh School Diploma, Math & Science, High School Diploma, Math & Science at Taian No.1 Senior High School
French, English, ChineseGithub contributions (5)
aaronhan223/SLCP
Sep 2021 - Jun 2022
Contributions:43 commits in 9 months
aaronhan223/htsf
Jan 2022 - Oct 2022
Contributions:34 commits, 18 pushes in 9 months
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