Dr Sebastian Zeki is a consultant gastroenterologist at St Thomas’ Hospital in London. His research interests include upper gastrointestinal physiology, upper gastrointestinal cancer, natural language programming and quality metrics in endoscopy. He co-leads the Gastroenterology data sciences Institute in London.
PhD - Genomics of Barrett's related malignancy, 2013
University of London
Member of the Royal College of Physician, 2006
MSc Health Informatics, 2003
City University
MBBS MBChir Medicine, 2001
University College London
MA in experimental psychology, 1998
Cambridge University
Dietary intervention is effective for the management of eosinophilic oesophagitis (EoE) in both adults and children. The majority of research has been conducted in Spain or the United States, with no studies of dietary intervention published in the United Kingdom. Restrictive elimination diets can be challenging…….
Medical data is increasingly kept in an electronic format worldwide (Bretthauer M. 2016).This serves many purposes including more efficient storage, distribution and accessibility of patient-focussed data. As important is the ability to analyse healthcare data for to optimize resource deployment and usage……
Barretts oesophagus represents the most significant risk factor for the development of oesophageal adenocarcinoma (OAC), although the majority of patients will not develop cancer. However, early detection of OAC……
Radiofrequency ablation (RFA) is used to successfully eliminate Barrett’s esophagus (BE)-related dysplasia or intramucosal carcinoma and aims to cause reversion to squamous epithelium. However, in 20% of cases RFA fails to return……
Research grants and awards
Webinar covering evidence-based guidance for IBS diagnosis and treatment, with approaches for empowering patients.
An R package for extracting structured data from free-text endoscopy and pathology reports, linking pathology to procedures and tracking Barrett’s surveillance timelines. View on GitHub
An educational resource for gastroenterology data science, covering R, machine learning, and NLP applied to clinical data. Visit site
A free online resource for gastroenterology teaching aimed at medical students and junior doctors. Visit site
Using routinely collected endoscopic and pathology data to improve lesion recognition quality metrics across endoscopy units.
Research project exploring minimally invasive flow measurements in gastrointestinal physiology.
Package to automate extraction of oesophageal physiology metrics https://github.com/sebastiz/Physipopv2.0.3
Libraries written in R and python to automate analysis of oesophageal physiology results (ph impedance, high resolution manometry and wireless pH capsules) (https://github.com/sebastiz/PhysiMineRpy & https://github.com/sebastiz/PhysiMineR)
Python libraries for simplifying access to EPIC Clarity data and legacy data in the Enterprise Data Warehouse (EDW). (https://github.com/AgatheZ/pyEPIC & https://github.com/sebastiz/pySTH_Analytics)
Zeki SS. EndoMineR for the extraction of endoscopic and associated pathology data from medical reports. Journal of Open Source Software. 2018;3(24):701. doi:10.21105/joss.00701.
I contribute across the KCL–GSTT academic pathway: undergraduate, postgraduate, and faculty development.
Videos of endoscopic procedures and techniques from my YouTube channel.