Data Champions Search

Sargon Gross-Thebing, PhD

Imaging Research Associate, The Gurdon Institute

Areas Of Expertise:

Data visualisation, Big data, Statistical analysis, Data architecture, Experimental design, Research data ethics, Data storage, Data sharing, Data archiving, Data preservation, Writing/publishing data papers, Imaging, Digital illustration, Workshop delivery

Contact Information

sg2046@cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0002-0204-3405

Biography

As a cell and developmental biologist graduated with an interdisciplinary PhD, Sargon has sound hands-on experience in various imaging modalities such as light-sheet microscopy and the development of efficient workflows to support quantitative image processing and analysis of big imaging data.

Shawn Zamani

PhD Student

Early Cancer Institute

Department of Oncology

Areas Of Expertise:

R language, Git, SQL, Other programming languages, Data visualisation, Statistical analysis, Electronic Lab Notebooks, Data collection, Version control, Institutional repositories, General repositories, Code sharing, Writing/publishing data papers, Surveys, Geospatial data, REDCap, Social media & digital communications, Website development, Bash

Contact Information

sz384@cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0001-8622-5013

Amy Foreman, PhD

Research Project Manager/Information Scientist

The Gurdon Institute

Areas Of Expertise:

R language, SQL, Data visualisation, Data collection, Database design, Open data, Writing/publishing data papers, Workshop delivery

Contact Information

alf45@cam.ac.uk

@AmzForeman

My LinkedIn Profile

Biography

Amy is a Research Project Manager and Information Scientist at the Gurdon Institute. She has experience working for an Open Access publisher and completed her PhD at the University of Exeter in 2019.

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.

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.

Sergio Martínez Cuesta, PhD

Postdoctoral Research Associate

Cancer Research UK Cambridge Institute

Areas Of Expertise:

Bioinformatics, Cheminformatics, Coding, Python, R language, SQL, Git, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Electronic Lab Notebooks, Data collection, Database design, Data architecture, Experimental design, Research data ethics, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Data archiving, Code sharing, Open data, Data preservation, Writing/publishing data papers, Imaging, Workshop delivery, Video editing

Contact Information

sermarcue@gmail.com

My LinkedIn Profile

ORCiD:

0000-0001-9806-2805

Biography

My research involves developing computational methods to explore the chemical biology of the genome and investigating proteins catalysing chemical modifications in DNA.

Additional areas of expertise:

Computational biology/chemistry.

Sargon Gross-Thebing, PhD

Contact Information

Biography

Shawn Zamani

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Amy Foreman, PhD

Contact Information

Biography

Itamar Shatz

Contact Information

Biography

Qi Wang, PhD

Contact Information

Biography

Sergio Martínez Cuesta, PhD

Contact Information

Biography

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