Contact information
Research Groups
Jaidip Gill
Health Data Scientist
Jaidip is a health data scientist/epidemiologist at the Bennett Institute. He is interested in deriving insights from healthcare data to improve patient outcomes. In the past, he has published papers focussing on models to predict the pharmacokinetics of drug-drug interactions and worked on the prediction of cell types using single-cell RNA and ATAC data with AstraZeneca. He has an MSc in Health Data Analytics & Machine Learning and a BSc in Biomedical Science, both from Imperial College London.
Recent publications
Combining single-cell ATAC and RNA sequencing for supervised cell annotation
Journal article
Gill J. et al, (2025), BMC Bioinformatics, 26
The relationship between general practice characteristics, case-mix, and secondary care attendances/admissions before and after the COVID-19 pandemic: Protocol for an OpenSAFELY cohort study
Journal article
Zou M. et al, (2025), Wellcome Open Research, 10
Evaluating the performance of machine-learning regression models for pharmacokinetic drug–drug interactions
Journal article
Gill J. et al, (2023), CPT: Pharmacometrics and Systems Pharmacology, 12, 122 - 134
Comparing the applications of machine learning, PBPK, and population pharmacokinetic models in pharmacokinetic drug–drug interaction prediction
Journal article
Gill J. et al, (2022), CPT: Pharmacometrics and Systems Pharmacology, 11, 1560 - 1568