Data Champions Search

Ali is Senior Data Scientist and public-health/transport modeller in the Public Health Modelling (PHM) group at the MRC-Epidemiology Unit, University of Cambridge. He is interested in active travel, specifically cycling research. 

Coming from a Computer Science background, with a focus on modelling in his PhD, for over a decade, he has been doing data-driven research and development. This includes Exploratory Data Analysis (EDA), Statistical Modelling (or Machine Learning), Interactive Visualization, all with a focus on collaborative, transparent and reproducible research. In addition, he leads in project management and managing, training, guiding, and teaching of junior staff in his Unit. His work can be seen on GitHub at https://github.com/usr110.

My research focuses on the applications of machine learning to problems in structural biology and drug discovery.

I am a PhD student studying the compaction of pharmaceutical powders into tablets. My main focus is on computer simulations but I make intensive use of experimental data to parametrise and validate my models. I like combining experimental and computational results as well as developing automated analysis methods. I also have experience working with large data sets and high-performance computing (HPC). Although my current research is on granular matter, my background is mainly in colloidal chemistry.

Dominik graduated from Applied Physics at the University of Warsaw, before transitioning to neuroscience. In 2021, he completed PhD at Cardiff University Brain Research Imaging Centre. Also, the same year, he became a Software Sustainability Institute Fellow concentrated on promoting good scientific programming practices. He organizes workshops focused on testing and code reviews. Currently, Dominik works as a Research Associate in the FlyConnectome group, where he develops computational tools that support structural analysis of a fruit fly (Drosophila) nervous system.