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.

Gabriel Reder

Postdoctoral Research Associate

Chemical Engineering and Biotechnology

Areas Of Expertise:

Python, R language, Git, Other programming languages, Big data, Data mining, Machine learning, Electronic Lab Notebooks, Laboratory Information Management System (LIMS), Database design, Data architecture, Version control, Data storage, Code sharing, Cheminformatics, Bioinformatics, Textual data

Contact Information

gr513@cam.ac.uk

ORCiD:

0000-0001-8918-0789

Biography

I am a postdoctoral research associate in the Chemical Engineering and Biotechnology Department focusing on automation of laboratory biological research using a combination of AI, informatics, lab robotics, and software engineering. I have previously worked on metabolomic systems biology with mass spectrometry analysis. Currently, my interests are especially focused on the intersection of knowledge representation, generative AI, and symbolic methods for automating scientific discovery.

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.

Jiayin Hong, PhD

Research Associate

Department of Biochemistry

Areas Of Expertise:

Python, R language, Git, SQL, Matlab, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Electronic Lab Notebooks, Version control, Bioinformatics, Workshop delivery

Contact Information

jh2313@cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0002-2212-558X

Biography

Jiayin is a postdoctoral research associate at the Department of Biochemistry. Holding a Ph.D in Integrated Life Sciences and Physics, Jiayin is passionate about unraveling intricate mechanisms in epigenetics, transcriptional regulation, and cancer biology. Her approach blends experimental techniques with computational methods.

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.

Rui Guan

Research Associate

Areas Of Expertise:

R language, Data mining, Experimental design, Code sharing, Bioinformatics

Contact Information

rg684@cam.ac.uk

Guan06Rui

ORCiD:

0000-0003-0862-2368

Biography

I studied biomedical engineering for my bachelor's degree at Southeast University in Nanjing, China. During my senior year, I interned at BGI-Shenzhen, where I began to extend my knowledge of bioinformatics by working on the genomics of plants, such as the ginkgo tree, and animals. During my Master's at the same university, I had the opportunity to start exploring the formation of algae blooms by characterizing the compositions of the bloom-forming microbial communities in Lake Taihu. Using metagenomics, we found that complementation in bioprocesses, such as nitrogen fixation, between cyanobacteria and their physically attached microbes contributes to the formation of aggregates. In 2017, I moved to Germany for my PhD at the Max Planck Institute for Plant Breeding Research. There, I applied and developed computational tools to help us understand host-microbe interactions. Specifically, I focused on unravelling the complex relationships between plants and the microbes living inside and in the immediate vicinity of their roots.

Alfredo Cortell-Nicolau, PhD

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Ali Abbas, PhD

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Florian Markowetz, PhD

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Gabriel Reder

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Hugo Tavares, PhD

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Biography

Jiayin Hong, PhD

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Biography

Qi Wang, PhD

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Biography

Raquel Manzano

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Biography

Rui Guan

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Biography

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