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.

I received my PhD in cognitive neuroscience from Basque Center on Cognition, Brain and Language (BCBL). I am currently a Research Associate at the Department of Psychology, University of Cambridge. My interests include data processing and analysis methods for neuroimaging techniques employed in developmental research (fNIRS & EEG). I am interested in the application of these methods for investigating functional connectivity and cognitive processes such as social cognition and language acquisition in infant populations.

I am a postdoctoral research associate in the Chemical Engineering and Biotechnology Department focusing on automation of laboratory biological research using a combination of AI, informatics, lab robotics, and software engineering. I have previously worked on metabolomic systems biology with mass spectrometry analysis. Currently, my interests are especially focused on the intersection of knowledge representation, generative AI, and symbolic methods for automating scientific discovery.

Haifeng Niu is a research associate in the Department of Land Economy, University of Cambridge. He received his PhD in Land Economy from the Lab of Interdisciplinary Spatial Analysis (LISA). His research interests include urban big data mining, spatial data science, geographic information visualization, and dynamic simulation.