Sicong Huang
Senior Clinical Scientist, AI&DATA Science at Philips
Beijing, China
Summary
👤
Senior🎓
Top SchoolSicong Huang is a Senior Clinical Scientist in AI & Data Science at Philips with a decade of experience applying quantitative methods to real-world problems. With a PhD in Astronomy and Astrophysics from the University of Miami and a physics undergraduate background, he blends rigorous scientific training with practical data engineering skills in Python and SQL. His career traverses academic research and industry translation, turning astronomical data-analysis techniques into clinical AI solutions. Based in Beijing, he is recognized for clear communication and team leadership that bridge multidisciplinary teams. An under-the-radar strength is his ability to repurpose methods from astrophysics for robust pattern detection in noisy clinical datasets.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at 南京师范大学Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at University of Miami
English, Chinese
Stackoverflow
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Github Skills (59)
observability10
go-api10
distributed-tracing10
kubernetes-operator10
opentelemetry-collector10
collector10
opentelemetry-go10
bpmn-engine10
sdk10
api10
opentelemetry10
logging10
tempo10
telemetry10
otel10
Programming languages (4)
Github contributions (5)
lastchiliarch/opentelemetry-go
Apr 2021 - Mar 2022
OpenTelemetry Go API and SDK
Contributions:33 pushes, 5 branches in 11 months
golangapitracingsdkgo-api
lastchiliarch/lib-bpmn-engine
Aug 2022 - Dec 2022
A BPMN engine, meant to be embedded in Go applications with minimal hurdles, and a pleasant developer experience using it. This approach can increase transparency for non-developers.
Contributions:20 pushes, 7 branches in 3 months
golangapproachbpmngodeveloper-experience
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