معرفی
Lan Wang is a Research Associate in the Department of Computing at Imperial College London's Faculty of Engineering, specializing in data science and machine learning applications for healthcare and cloud systems. Her work focuses on transformer-based modeling of electronic health records to enable early cancer diagnosis and optimize primary care referrals.
Her academic credentials include:
- Ph.D. in Cognitive cloud computing systems and networks (2018)
- M.Sc. in Communications and Signal Processing from Imperial College London
- B.Sc. from Shandong University, China
Dr. Wang's research spans Machine Learning, Healthcare Informatics, and Cloud Computing, with emphasis on deep learning for cancer diagnosis, NLP/LLM methods, and autonomic network optimization. She develops AI tools to analyze patient health trajectories and treatment responses using EHR data, while maintaining expertise in cognitive packet networks for cloud resource management.
Analysis of her 15 most recent publications reveals dominant themes in healthcare AI (particularly cancer diagnosis using transformer models) and autonomic cloud systems (task allocation, cognitive networking). Her work bridges clinical applications with networked computing infrastructure, showing increasing focus on healthcare since 2019.
She actively contributes to major research initiatives:
- AI-DIP: Cancer early diagnosis in general practice (2024-present)
- LOCOMOTION: Long COVID Study (2022-2024)
- Cancer Pathway project (2019-2023)
- H2020 KONFIDO: Secure eHealth services (2017-2019)
- EU FP7 PANACEA: Cloud resource management (2014-2016)
As part of Imperial's Intelligent Systems and Networks group, she collaborates across the Academic Women in Mathematics and Applied Mathematics networks, integrating theoretical computing with real-world healthcare challenges.
