Kwok Fan
Research Fellow Therapeutic Medical Physics Resident at Memorial Sloan Kettering Cancer Center
Washington DC-Baltimore Area United States
Summary
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Senior🎓
Top SchoolKwok Fan is a research-focused therapeutic medical physicist and postdoctoral researcher with nine years of experience bridging medical imaging, AI, and astrophysics. Currently a Therapeutic Medical Physics Resident and Research Fellow at Memorial Sloan Kettering, he develops deep-learning methods for cone-beam CT reconstruction while training on CAMPEP-accredited clinical workflows. His prior roles include ORISE fellowships at the FDA where he worked on calibration and uncertainty quantification for AI-enabled imaging devices and a postdoc at Penn focused on AI CT denoising evaluation. Kwok’s PhD work at the University of Maryland combined high-energy astrophysics collaborations (HAWC, IceCube) and low-signal statistical methods, giving him a distinctive strength in noise-dominated inference that transfers to medical imaging problems. Based in the DC–Baltimore area, he brings a rare mix of regulatory experience, clinical residency training, and advanced ML research applied to practical medical-device evaluation.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of MarylandThe University of Hong Kong (HKU)
Github Skills (30)
image9
data-science9
pytorch9
python9
xspec9
machine-learning9
deep-learning9
pip8
installer8
tensorflow8
packaging8
image-processing8
astronomy8
issue-tracking7
imaging7
Programming languages (3)
Github contributions (5)
jasonfan1997/threeML
Jun 2020 - Mar 2022
The Multi-Mission Maximum Likelihood framework (3ML)
Contributions:2 releases, 4 PRs, 43 pushes in 1 year 10 months
maximumpythonmaximum-likelihood3mllikelihood
jasonfan1997/jasonfan1997.github.io
Jan 2018 - Nov 2019
Contributions:42 pushes, 1 branch in 1 year 10 months
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