Summary
Mingcan Tang is a Senior Data Scientist based in Glasgow with a decade of professional experience bridging machine learning research and production data systems. He combines deep technical roots in computer science (SQL, Python, R, Spark, Hadoop, Kafka) with hands-on deep learning for omics, NLP and image tasks, currently leading ML-driven harmonisation and explainable-AI analyses of large clinical and transcriptomics cohorts at the University of Glasgow. His background spans industry-scale real-time systems (Alibaba: Kafka/Flink/Redis/HBase) and product-focused roles from founding technical teams to rebuilding CRM analytics pipelines, so he fluently moves between prototyping models and deploying data platforms. Mingcan’s interdisciplinary edge comes from pairing rigorous algorithmic skills with practical data engineering and visualization, and an unusual mix of academic awards and creative design prizes that hint at both technical depth and an eye for presentation.
3 years of coding experience
9 years of employment as a software developer
Bachelor, Computer science & tech, Bachelor, Computer science & tech at 南京大学
Master, 计算机科学与技术, Master, 计算机科学与技术 at 河海大学
Nanjing First High school
Master of Science (MSc), Business analytics, Master of Science (MSc), Business analytics at 新加坡国立大学