Data Champions Search

Alfredo Cortell-Nicolau, PhD

Marie Curie European Research Fellow

McDonald Institute for Archaeological Research

Areas Of Expertise:

R language, SQL, Visual Basic, Data visualisation, Data mining, Statistical analysis, Database design, Open data, Geospatial data, Video editing

Contact Information

ac2320@cam.ac.uk

@cortellnicolau

ORCiD:

0000-0003-1982-6403

I am an archaeologist focused in Culture Evolution, Computational Archaeology and mathematical and spatial analysis applied to Archaeology and Prehistory. I also advocate for collaborative science, open research and scientific reproducibility, as one of the best ways to improve scientific outcomes

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.

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.

Frazer Christie, PhD

Postdoctoral Research Associate (Glacier Geophysics)

Scott Polar Research Institute

Areas Of Expertise:

Matlab, Data visualisation, Data mining, Statistical analysis, Data Management Plans, Data collection, Database design, Data architecture, Data storage, Institutional repositories, Discipline-specific repositories, General repositories, Data sharing, Open data, FAIR Data, Data archiving, Data preservation, Writing/publishing data papers, Imaging, Geospatial data

Contact Information

ORCiD:

Biography

I am a Postdoctoral Research Associate at the Scott Polar Research Institute, where I use a combination of novel satellite imaging techniques, airborne geophysical observations and climate-ocean model data to investigate the key climatic drivers responsible for controlling the rapid deterioration of the Antarctic Ice Sheet since the onset of the satellite era (~1970-present). As such, I have a range of experience in the handling, processing and visualisation of complex geospatial datasets, and have experience in the usage of several different computer programming languages to do this. My experience also includes the long-term archiving and preservation of data to support scientific reproducibility, ranging from the publication of small, project-specific datasets to institutional collections (including assisting with the recent publication of SPRI’s historical Arctic airborne radio echo sounding data archives).

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.

Janina Schupp, PhD

Affiliated Lecturer and Research Associate

Department of Architecture

Areas Of Expertise:

Data mining, Data collection, Database design, Data sharing, Audiovisual data, Workshop delivery, Video editing

Contact Information

js2034@cam.ac.uk

Biography

I am an Affiliated Lecturer in Architecture and the Moving Image and a researcher working with large audio-visual datasets. I specialise in developing digital methodologies and database approaches for film and media research. I am currently the main researcher of the ‘CineMuseSpace: A Cinematic Musée Imaginaire of Spatial Cultural Differences’ project (cinemusespace.com).

Additional areas of expertise:

Audio-visual data analysis, film databases, metadata ontologies.

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.

Raquel Manzano

Bioinformatician

Cancer Research UK Cambridge Institute

Areas Of Expertise:

Big data, Sensitive data, Code sharing, Data analysis, Bioinformatics, Coding, Python, R language, Git, Data visualisation, Data mining, Machine learning, Statistical analysis, Electronic Lab Notebooks, Data collection, Version control, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Data archiving, Workshop delivery

Contact Information

raquel.manzanogarcia@cruk.cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0002-5124-8992

Biography

I am bioinformatician who has been working in Cancer Research UK Cambridge Institute since 2017. I have a background in biology and have experience with HPC, version control, R and python, and confidential data. I work with big volumes of cancer patient data on a daily basis.

Additional areas of expertise:

High Performance Computing (HPC) - cluster.

Sherine Awad Mahmoud, PhD

Postdoctoral Research Associate, Clinical Biochemistry

Areas Of Expertise:

Python, R language, Git, C/C++ language, Data mining, Machine learning, Version control, Licensing, Copyright, Research data ethics, Data policies, Data storage, General repositories, Data sharing, Code sharing, FAIR Data, Writing/publishing data papers, Bioinformatics

Contact Information

sa941@medschl.cam.ac.uk

Biography

I have a PhD in Computer Science specialised in Bioinformatics from Michigan State university. I had my postdoc training in Bioinformatics from University of California Davis before moving to University of Cambridge.

Yasmin Fathy, PhD

Research Associate in Construction Information Technology

Areas Of Expertise:

Python, Git, SQL, Data mining, Machine learning, Data collection, Writing/publishing data papers, Digitisation

Contact Information

ORCiD:

Biography

Yasmin Fathy is a Research Associate at the Department of Engineering, University of Cambridge and a Fellow of the Higher Education Academy. Before joining Cambridge, she was a Software Developer at Genomics Analytics Group at European Bioinformatics Institute (EMBL-EBI), Research Associate in IoT and Machine Learning at Cambridge University, and a KTP Research Associate in Data Science and Machine Learning at UCL. She obtained her PhD from the Institute for Communication Systems (ICS) at the University of Surrey and an MSc in Applied Science and Engineering from the Artificial Intelligence (AI) Lab at Vrije Universiteit Brussel (VUB) in Belgium. Her research interests include IoT, data analytics, digital twin and applied machine learning.

She is an active reviewer and a technical program committee member for multidisciplinary and international journals and conferences, including CCNC, The Web Conference (WWW), IEEE Systems, IEEE IoT Journal, IEEE Transactions on Big Data, and IEEE Access. She is a Topic Editorial in Frontiers in Big Data: Women in Machine Learning and Artificial Intelligence Initiative, a Data Champion at the University of Cambridge and a member of the Cambridge Centre for Data-Driven Discovery (C2D3). She was a BSF (Become a Science Founder) Fellow for entrepreneurship scientists in 2021 and was awarded MEDASTAR Erasmus Mundus and University of Surrey scholarships.

Yasmin is also a volunteer mentor for supporting students with soft & English skills development at Manara and a volunteer instructor at Code First Girls (CFGs).

http://yasminfathy.github.io/

Alfredo Cortell-Nicolau, PhD

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Ali Abbas, PhD

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Florian Markowetz, PhD

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Frazer Christie, PhD

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Biography

Hugo Tavares, PhD

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Biography

Janina Schupp, PhD

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Biography

Qi Wang, PhD

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Biography

Raquel Manzano

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Biography

Sherine Awad Mahmoud, PhD

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Biography

Yasmin Fathy, PhD

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Biography

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