Tingfung Lau
Quantitative Research Analyst
Hong Kong, China
Summary
👤
Senior🎓
Top SchoolTingfung Lau is a quantitative research analyst with nine years of experience applying machine learning and software engineering to finance and medical imaging problems, currently at Citadel Securities in Hong Kong. He combines strong C++ and Python proficiency with a rigorous ML background (MS in Machine Learning from Carnegie Mellon) and top programming contest pedigree (OI and ACM Gold Medalist). Prior roles at D. E. Shaw, Microsoft Research Asia, Face++, and CMU saw him build production-ready forecasting models and novel deep learning architectures—one weakly supervised detector that improved embryo classification accuracy by 2.5%. Comfortable moving ideas from research to deployable systems, he has repeatedly translated academic insights into measurable gains in accuracy and volume forecasting. Beyond finance, his cross-domain experience in 3D medical image registration and network compression gives him an uncommon edge in model efficiency and robustness.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Machine Learning, GPA 4.06, Master of Science - MS, Machine Learning, GPA 4.06 at Carnegie Mellon UniverstiyBachelor in Engineering, Computer Sciences, Yaoclass Honor CS Program GPA 90 / 100, Bachelor in Engineering, Computer Sciences, Yaoclass Honor CS Program GPA 90 / 100 at Tsinghua University
Stackoverflow
1reputation
0reached
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Github Skills (20)
convolutional-neural-networks8
image-processing7
object-detection6
darknet6
translate6
graph6
deep-learning5
keras5
machine-learning5
tensorflow4
deep-neural-networks3
ruby2
image-translation2
mobile-development2
translation2
Programming languages (4)
Github contributions (5)
ldf921/flownext
Mar 2018 - Jun 2018
Contributions:32 commits, 4 pushes, 1 branch in 2 months
ldf921/drnet-py
Mar 2019 - May 2019
Contributions:35 commits, 1 PR, 23 pushes in 2 months
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