Kwan Ho
Physical Scientist - Data Scientist
Columbia, Maryland, United States
Summary
👤
Senior🎓
Top SchoolKwan Ho is a Ph.D.-trained physical scientist and data scientist with 13 years of experience applying quantitative research, machine learning, and text mining to scientific and enterprise problems. Currently at the NIH’s Center for Scientific Review, he designs scalable NLP and clustering solutions for automated grant referral and federal resource allocation. His background bridges theoretical physics and production ML—having published peer-reviewed research, developed epidemiological and bioinformatics tools, and deployed real-time recommendation models at Capital One. He has deep hands-on experience with transformer transfer learning, incremental processing of free text, and performance-focused algorithm analysis. Based in Columbia, Maryland, he combines academic rigor with practical engineering to turn complex scientific documents into operational decision support systems.
13 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of MarylandThe Chinese University of Hong Kong (CUHK)
Chinese, English, Chinese
Github Skills (129)
transformers10
language-model10
instagram10
python10
topological-data-analysis10
fasttext10
flax10
deep-learning10
yahoo10
glove10
word2vec10
corpus10
pandas10
mining10
api10
Programming languages (10)
Github contributions (5)
stephenhky/MoguNumerics
Nov 2016 - Sep 2022
Python, a collection of simple numerical routines
Contributions:14 releases, 266 commits, 37 PRs in 5 years 11 months
python-librarypythonroutinesnumerical-routines
stephenhky/JShortTextMining
Jan 2017 - Oct 2024
Contributions:1 release, 3 PRs, 48 pushes in 7 years 9 months
miningshort-textshorttext-miningjava
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