Data Champions Search

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

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.

Florian Markowetz, PhD

Senior Group Leader

Cancer Research UK Cambridge Institute

Areas Of Expertise:

Big data, Discipline-specific repositories, Data analysis, Bioinformatics, Coding, R language, Git, Matlab, Data visualisation, Data mining, Machine learning, Statistical analysis, Experimental design, Imaging, Workshop delivery, Social media and digital communications

Contact Information

fm327@cam.ac.uk

@markowetzlab

ORCiD:

0000-0002-2784-5308

Biography

Florian Markowetz is a Senior Group Leader at the Cancer Research UK Cambridge Institute. He is a Royal Society Wolfson Research Merit Award holder and received a CRUK Future Leader in Cancer Research prize. He holds degrees in Mathematics (Dipl. math.) and Philosophy (M.A.) from the University of Heidelberg and a Dr. rer. nat. (PhD equivalent) in Computational Biology from Free University Berlin, for which he was awarded an Otto-Hahn Medal by the Max Planck Society. His group at the CRUK Cambridge Institute combines computational work on cancer evolution and image analysis of the tumour tissue with experimental work on understanding key cancer mechanisms like the estrogen receptor.

Hugo P. Bastos, PhD

Postdoctoral Research Associate, Haematology/Cambridge Stem Cell Institute

Areas Of Expertise:

Python, R language, SQL, Data visualisation, Machine learning, Statistical analysis, Database design, Data storage, Bioinformatics

Contact Information

hpb29@cam.ac.uk

ORCiD:

0000-0002-8072-4070

Biography

I provide Bioinformatic support for a few research groups in the Cambridge Stem Cell Institute. For the most part I deal with the analysis of single cell sequencing data, storage management of such data and the deployment of data processing pipelines into HPC environments.

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.

Jason Gellis, PhD

Research Associate

Department of Archaeology

Areas Of Expertise:

Python, R language, Git, Data visualisation, Big data, Machine learning, Statistical analysis, Data Management Plans, Data collection, Database design, Version control, Data storage, Discipline-specific repositories, General repositories, Data sharing, Code sharing, Open data, FAIR Data

Contact Information

jg760@cam.ac.uk

My LinkedIn Profile

Biography

I am a researcher and educator in paleoanthropology and biology. Currently, I am developing machine learning and AI applications for human evolutionary studies with the University of Cambridge Leverhulme Center for Human Evolutionary Studies and the Alan Turing Institute.

Ali Abbas, PhD

Contact Information

Biography

Andrew Thwaites, PhD

Contact Information

Biography

Arian Jamasb

Contact Information

Biography

Darran Clements

Contact Information

Dequn Teng

Contact Information

Biography

Dominik Krzeminski, PhD

Contact Information

Biography

Florian Markowetz, PhD

Contact Information

Biography

Hugo P. Bastos, PhD

Contact Information

Biography

Hugo Tavares, PhD

Contact Information

Biography

Jason Gellis, PhD

Contact Information

Biography

Filter by area of expertise

Filter by research communities:

Study at Cambridge

About the University

Research at Cambridge