Specialist Trainee
Department of Gastroenterology, Bispebjerg Hospital
Internal Medicine / Gastroenterology & Hepatology specialist training.
Specialist trainee in Gastroenterology at Bispebjerg Hospital · Postdoc and Leader of the Gastrointestinal Artificial Intelligence Network (GAIN) · Principal Investigator at the Copenhagen Center for Inflammatory Bowel Disease.
I am a medical doctor, clinical epidemiologist, and specialist trainee in Internal Medicine and Gastroenterology at Bispebjerg Hospital. Concurrently, I serve as a postdoctoral researcher and Leader of the Gastrointestinal Artificial Intelligence Network (GAIN) at Copenhagen University Hospital Hvidovre.
While a primary focus of my current work centers on bridging clinical gastroenterology and computer science to deploy multimodal AI pipelines—such as computer vision for endoscopy and language models for histology—my research and clinical practice extend beyond artificial intelligence. As an epidemiologist, I leverage Danish nationwide registry data to conduct large-scale cohort studies, survival analyses, and statistical modeling to track long-term Inflammatory Bowel Disease (IBD) clinical courses and treatment outcomes. My objective is to combine advanced computational tools with traditional, robust epidemiological methods and direct patient care to advance precision management in gastroenterology.
Department of Gastroenterology, Bispebjerg Hospital
Internal Medicine / Gastroenterology & Hepatology specialist training.
Gastrointestinal Artificial Intelligence Network (GAIN)
Leading a team of 15 researchers on projects applying deep learning to IBD diagnostics, patient stratification and predicting treatment response.
Copenhagen Center for Inflammatory Bowel Disease
Leading independent epidemiological research and statistical modeling efforts using Danish registry data. Spearheading clinical cohort studies, securing project funding, and mentoring junior researchers.
Deep learning pipelines · Convolutional Neural Networks (CNN) · Computer vision in IBD.
Advanced statistical modeling · Causal inference · Machine learning · Nationwide registry data and cohort studies · R and Python workflows · Advanced biostatistics.
Active clinical practice · Evidence-based IBD management · Up-to-date therapeutic strategies · Strong foundation in complex internal medicine · Clinical trials design
Endoscopic Add-on System for Ulcerative Colitis patients. Real-time CNN inference on live endoscopy video to augment clinician scoring.
Application of computer science for disease classification and prediction in IBD using deep learning.
National biobanking initiative investigating biological treatment outcomes in Inflammatory Bowel Disease.
Multicenter prospective study evaluating early intestinal ultrasound (IUS) in Ulcerative Colitis. Building a centralized multi-omics biobank and imaging repository for future computational and AI-assisted diagnostics.
Most recent work — automatically refreshed from OpenAlex on every page load.
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See all publications →Also: oral presenter / chair at Digestive Disease Week, UEGW, and the ECCO Conference.
Frequent reviewer for American Journal of Gastroenterology, Journal of Crohn and Colitis, Gastroenterology, and GUT.
Supervisor / co-supervisor for several bachelor and master students in Medicine and Data Science. Co-supervisor of 2 PhD students in Medicine and Data Science.
Contributions to BestPractice, Journal of Crohn and Colitis, Medicinsk Tidsskrift, Nyheder fra Hvidovre Hospital, CCF Magasinet.
For research collaborations, supervision, advisory, or speaking — write me directly.
Bobby Zhao Sheng Lo is a leading MD, PhD, and Post-Doc researcher based in Denmark, specializing in Inflammatory Bowel Disease (IBD). He is the head and leader of the Gastrointestinal Artificial Intelligence Network (GAIN) at Copenhagen University Hospital Hvidovre.
His medical research focuses extensively on the intersection of Gastroenterology and Computer Science in Denmark. Key areas of expertise include deep learning pipelines, Convolutional Neural Networks (CNN) for endoscopy, and clinical epidemiology.
Notable IBD research projects in Denmark include the ENACT Endoscopic Add-on System for Ulcerative Colitis, the Presager Project for AI-driven disease classification, the Danish IBD Biobank (DIB), the multinational DICE Project, and the EASI Trial mapping treatment modalities in Crohn's Disease and Ulcerative Colitis.
Search terms relevant to this work: Denmark IBD, Gastrointestinal Artificial Intelligence Network, GAIN Denmark, Bobby Lo MD PhD, Copenhagen Center for Inflammatory Bowel Disease in Children, Adolescents, and Adults, AI in Endoscopy.