Kezhi Li

Associate Professor Of AI In Healthcare

London, England, United Kingdom
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Summary

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Senior
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Top School
Kezhi (Ken) Li is an Associate Professor of AI in Healthcare at UCL with 11 years of experience applying machine learning, signal processing and biomedical engineering to clinical problems. He leads the MRes CDT in AI-enabled healthcare systems and teaches advanced ML while directing research on EHR analytics, biomedical time-series from monitors and wearables, diabetes management, and LLM applications in mental health. His background spans top academic labs (Imperial, Cambridge, KTH) where he developed compressed sensing, deep learning (CNN/RNN/LSTM) and imaging algorithms, giving him a rare blend of theoretical rigour and practical deployment experience. Kezhi is also active in digital health topics like patient flow optimization and federated learning, and his work has attracted mainstream media attention. Colleagues describe him as a problem-driven researcher who moves fluidly between signal-level methods and system-level healthcare impact.
code11 years of coding experience
job6 years of employment as a software developer
bookPhD, Electrical and Electronic Engineering, PhD, Electrical and Electronic Engineering at Imperial College London
bookBachelor, Electrical Engineering, Bachelor, Electrical Engineering at University of Science and Technology of China
bookUniversity of Cambridge
bookHong Kong University of Science and Technology (HKUST)
bookSecondary school, Secondary school at Hefei No.1 High School
languagesEnglish, Chinese
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Github Skills (6)

zap3
dynamic-programming2
python2
deep-learning1
deep-neural-networks1
neural-network1

Programming languages (2)

SCSSPython

Github contributions (5)

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KezhiLi/Tracking_Hypo

Feb 2015 - Jul 2015

Contributions:30 commits, 26 pushes, 1 branch in 4 months
KezhiLi/Worm_File_Processing

Dec 2015 - May 2017

Contributions:6 PRs, 73 pushes, 3 branches in 1 year 5 months
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