معرفی
Bojing Liu is a Research Specialist at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, specializing in epidemiology and computational medicine. Their work bridges deep learning, histopathology, and neurodegenerative disease research.
- PhD in Medical Epidemiology and Biostatistics (2018), Karolinska Institutet
- Master of Medical Science (2012), Karolinska Institutet
Liu's research focuses on applying deep learning to histopathology and genomics for cancer prognosis, including breast and prostate cancer. They also investigate neuroepidemiology, particularly Parkinson's disease risk factors linked to early-life conditions, surgical history, and gut-brain axis interactions.
Their publications highlight expertise in computational pathology (e.g., spatial interpretation of weakly supervised models) and epidemiological methods using Swedish register-based datasets. Recent work includes self-supervised learning for colon cancer therapeutic strategies and AI-driven histological grading.
Grants include funding from the Swedish Research Council for projects such as:
- CARE-B: AI in Registry-based Image Epidemiology for Breast Cancer (2024-2028)
- Deep-learning Models for Cancer Outcomes (2020-2022)
Liu collaborates with the Predictive Medicine group led by Mattias Rantalainen, contributing to interdisciplinary research at the intersection of epidemiology, machine learning, and clinical medicine.
