Data Champions Search

Abi Britten, PhD

Data Management Team Lead

MRC Epidemiology Unit

Areas Of Expertise:

Python, SQL, Laboratory Information Management System (LIMS), Database design, Sensitive data, Data protection and research, Institutional repositories, Data sharing

Agustina Martínez García, PhD

Head of Open Research Systems

Digital Initiatives

Areas Of Expertise:

Sensitive data, Data policies, Data storage, Institutional repositories, Data sharing, Data archiving, Code sharing, Open data, Data preservation, Surveys, Apollo (Cambridge University repository)

Contact Information

am857@cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0003-1440-5829

I currently lead the Open Research Systems Team, which is part of the Digital Initiatives within Cambridge University Library. My role involves being responsible for the technical aspects of our Institutional Repository, Apollo, as well as evaluating and integrating the institutional repository and related workflows for data and publication deposits into other systems, such as CRIS systems for research information management.

Additional areas of expertise:

Digital archiving, social sciences data, repositories, metadata standards, linked data.

Ali Abbas, PhD

Senior Data Scientist, MRC Epidemiology Unit

Areas Of Expertise:

Python, R language, Git, SQL, C/C++/C# language, Java, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Version control, Data sharing, Code sharing, Open data, FAIR Data, Writing/publishing data papers, Geospatial data

Contact Information

aa797@cam.ac.uk

Biography

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.

Andrew Thwaites, PhD

Visiting Scientist

Department of Psychology

Areas Of Expertise:

Bioinformatics, Data sharing, Big data, Coding, Python, R language, SQL, Git, Matlab, Java, Data visualisation, Machine learning, Statistical analysis, Data Management Plans, Data policies, Data archiving, Code sharing, Open data, Imaging, Illustration, Website development

Contact Information

acgt2@cam.ac.uk

ORCiD:

0000-0002-6237-7140

Biography

Additional areas of expertise:

Neuroscience data

Andrzej Harris, PhD

Research Associate

Department of Biochemistry

Areas Of Expertise:

Python, Matlab, Data visualisation, Data collection, Experimental design, Data sharing, Data archiving, Bioinformatics

Contact Information

ORCiD:

Biography

I am a Research Associate in the Department of Biochemistry, where I specialise in electron cryo-microscopy (cryo-EM). I use cryo-EM data for the reconstruction and computational modelling of antibiotic transport by bacterial tripartite efflux pumps and related membrane proteins.

Arian Jamasb

PhD student

Department of Biochemistry

Department of Computer Science and Technology

Areas Of Expertise:

Python, R language, Git, Data visualisation, Big data, Machine learning, Statistical analysis, Version control, Discipline-specific repositories, Data sharing, Code sharing, Open data, Cheminformatics, Bioinformatics

Contact Information

ORCiD:

Biography

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

Darran Clements

Imaging Assistant

Wellcome–MRC Cambridge Stem Cell Institute

Areas Of Expertise:

Python, Data visualisation, Machine learning, Version control, Copyright, Discipline-specific repositories, Data sharing, Data archiving, Data preservation, Surveys, Imaging, Social media & digital communications, Website development

Contact Information

dkc25@cam.ac.uk

@darranclem

My LinkedIn Profile

Dequn Teng

PhD Candidate, Department of Engineering

Areas Of Expertise:

Python, SQL, Matlab, Machine learning, Statistical analysis, Data collection, Database design, Copyright, Data sharing, Code sharing, Open data, Imagin

Contact Information

dt517@cam.ac.uk

My LinkedIn Profile

Biography

Dequn (Peter) Teng is a Ph.D. candidate supervised by Dr. Veronica Martinez in the Business Model Innovation Group at the Institute of Manufacturing. His current research area is on blockchain and machine learning integrated methods for supply chain management.

Dequn graduated from University of Liverpool (2+2 route) with a first class honours degree in Computer Science and Electronic Engineering. His past research experiences relate to blockchain and digital innovation, with peer reviewed conference paper publications on IEEE Xplore and EI. Additionally, He has ten invention patent applications under substantive review process, ranging from Blockchain and Mechanical Design Innovation. For industrial exposure, he has taken research internships at Deutsche Bank (Shanghai) for digital transformation research, and Unilever (UK) for PowerBI visualization. Moreover, he loves mathematical modelling and was awarded Meritorious Winner at the Mathematical Contest in Modeling.

Dominik Krzeminski, PhD

Research Associate

Contact Information

dkk33@cam.ac.uk

@dokatox

ORCiD:

0000-0003-4568-0583

Biography

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.

Hugo Tavares, PhD

Postdoctoral Research Associate

Department of Genetics

Bioinformatics Training Facility

Areas Of Expertise:

Bioinformatics, Coding, Python, R language, Git, Data analysis, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Data collection, Experimental design, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Code sharing, Open data, Workshop delivery

Contact Information

hm533@cam.ac.uk

Biography

Additional areas of expertise:

Plant science, Quantitative genetics.

Abi Britten, PhD

Contact Information

Agustina Martínez García, PhD

Contact Information

Biography

Ali Abbas, PhD

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Biography

Andrew Thwaites, PhD

Contact Information

Biography

Andrzej Harris, PhD

Contact Information

Biography

Arian Jamasb

Contact Information

Biography

Darran Clements

Contact Information

Dequn Teng

Contact Information

Biography

Dominik Krzeminski, PhD

Contact Information

Biography

Hugo Tavares, PhD

Contact Information

Biography

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