Find a Data Champion

Itamar Shatz

Research Associate, Cambridge Digital Humanities

Department of Theoretical and Applied Linguistics

Areas Of Expertise:

Data analysis, Data wrangling, Data sharing, Science communication, Python, R language, Statistical analysis, Open data, Writing/publishing data papers, Textual data, Social media and digital communications, Website development

Contact Information

ORCiD:

Biography

I primarily work with large-scale language datasets, using methods from quantitative and computational social sciences, as well as the digital humanities. I also teach associated research methods, like statistics, data wrangling, and visualization.

Outside my research, I am an active science communicator, primarily via two websites that I author: Effectiviology (https://effectiviology.com/), where I write about psychology and philosophy that have practical applications, and Solving Procrastination (https://solvingprocrastination.com/), where I write about what procrastination is, why we do it, and how to overcome it.

As a Data Champion, I focus on the use of quantitative and computational methods for working with data (e.g., for data wrangling and statistical analyses). I also deal with associated topics, like maximizing the impact of research through open research and science communication.

Marina Avena Maia PhD

Commercialisation Associate

Cambridge Enterprise

Areas Of Expertise:

Data visualisation, Data Management Plans, Data collection, General repositories, Data sharing, Writing/publishing data papers, Surveys, Social media & digital communications, Website development

Contact Information

Marina.AvenaMaia@admin.cam.ac.uk

@AvenaMarina

My LinkedIn Profile

Biography

Marina has a PhD from the Chemical Engineering and Biotechnology Department at the University of Cambridge. She has previous industrial experience in R&D by working with multinational companies and start-ups. Currently, Marina is Commercialisation Associate in the Physical Sciences team at Cambridge Enterprise. She identifies and evaluates new technologies arising from University research, supporting academics with the protection of their intellectual property and commercialisation of their research outputs.

Prior to joining Cambridge Enterprise, Marina worked as a Research Analyst at the University of Cambridge. Amongst her main responsibilities, Marina conducted research and analysis of international projects and partnerships, providing analytical trends and insightful data that allowed the University to forge strategic partnerships with external institutions.

Matthew Evans

Yusuf Hamied Department of Chemistry

Areas Of Expertise:

Python, Data visualisation, Machine learning, Electronic Lab Notebooks, Laboratory Information Management System (LIMS), Data collection, Database design, Data architecture, Version control, Licensing Copyright, Git, Institutional repositories, Discipline-specific repositories, General repositories, Data sharing, Code sharing, Open data, FAIR Data, Data archiving, Writing/publishing data papers, Cheminformatics, Digitisation, Workshop delivery, Website development, Other programming languages

Contact Information

me388@cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0002-1182-9098

Biography

I'm a research fellow working to improve data management practices broadly across the materials and chemical sciences, with the aim to accelerate discovery and enable new data-driven approaches in the physical sciences. I lead the development of the decentralised open source RDM platform, datalab, used by several labs in Cambridge and beyond to track sample provenance, ingest raw characterisation data from instruments and easily disseminate data within and between labs. datalab has been designed primarily with materials chemistry and battery groups in mind, but has been extended to work for polymer research, direct air capture and autonomous labs. I also work extensively on API standardisation for crystal structure databases, via my involvement in OPTIMADE. I am very happy to discuss how people can engage with this work if they are in this domain, or how the approach could be adopted by other domains.

Before starting my current role, I completed my undergraduate studies in Theoretical Physics at the University of Manchester, after which I joined the University of Cambridge for an MPhil in Scientific Computing and subsequent PhD in Physics where I worked on crystal structure prediction for battery materials. I then joined UCLouvain in Belgium for a postdoc and research fellowship, before making my way back to Cambridge in 2025 as a Leverhulme Trust Early Career Research Fellow.

Qi Wang, PhD

Bioinformatician

Department of Plant Sciences

Areas Of Expertise:

Big data, Data analysis, Bioinformatics, Coding, Python, R language, SQL, Git, Data visualisation, Data mining, Machine learning, Statistical analysis, Experimental design, Data storage, Discipline-specific repositories, Data sharing, Code sharing, Writing/publishing data papers, Workshop delivery

Contact Information

qw254@cam.ac.uk

ORCiD:

0000-0002-6420-1720

Biography

Qi received her PhD at the University of California, Los Angeles, where she developed computational methods to study alternative splicing and the evolution of HIV. Later she joined the UCLA Division of Dermatology to help identify the resistance mechanisms of targeted cancer therapies using computational tools.

In 2011 she was awarded the Humboldt Research Fellowship to work in the Division of Theoretical Bioinformatics, and later the Division of Applied Bioinformatics, at the German Cancer Research Centre. There she worked on diverse bioinformatics projects with NGS data, such as studying genome-wide epigenetic regulation of cell differentiation, developing sequencing protocols and detecting somatic mutations from whole-genome sequencing data, as well as data integration and predictive modelling.

Currently, she provides bioinformatics training and support to PhD students and postdoctoral researchers in the lab of Professor Beverley Glover.

Itamar Shatz

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Biography

Marina Avena Maia PhD

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Matthew Evans

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Qi Wang, PhD

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