Data Champions Search

Shujing Shi

PhD student

Areas Of Expertise:

R language, SQL, Data visualisation, Statistical analysis, Data collection, Sensitive data, Research data ethics, Surveys

Shujing (Jing) is a PhD student at the Institute of Criminology. Her primary research interests encompass organised crime, drug market, crime data, and social network analysis. Additionally, she has a diverse range of interests that extend to evidence-based policing, decision-making process, and experimental criminology.

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

Contact Information

abigail.britten@mrc-epid.cam.ac.uk

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

Biography

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.

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.

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

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.

Gregory Serapio-García

PhD Student

Department of Psychology

Areas Of Expertise:

File sharing systems, Big data, Code sharing, Data analysis, Coding, Python, R language, SQL, Git, Data mining, Machine learning, Statistical analysis, Data storage, Surveys, Textual data, Geospatial data

Contact Information

gs639@cam.ac.uk

@gregserapio

ORCiD:

0000-0002-1890-2331

Biography

I'm a PhD student and Gates Cambridge Scholar studying psychology at St John's College. Broadly, I examine the psychometric properties of Internet big data; my current research explores how social media data predict personality traits and dimensions of mental illness. In general, I'm interested in social data science, the overlap of clinical disorders with everyday personality traits, and personality differences across cultures.

Haifeng Niu, PhD

Postdoctoral Research Associate

Areas Of Expertise:

Python, R language, Git, SQL, Data visualisation, Big data, Data mining, Machine learning Data collection, Textual data, Geospatial data, Social media & digital communications, Website development

Contact Information

hn303@cam.ac.uk

@niu_haifeng

ORCiD:

0000-0002-0182-3573

Biography

Haifeng Niu is a research associate in the Department of Land Economy, University of Cambridge. He received his PhD in Land Economy from the Lab of Interdisciplinary Spatial Analysis (LISA). His research interests include urban big data mining, spatial data science, geographic information visualization, and dynamic simulation.

Shujing Shi

Contact Information

Biography

Abi Britten, PhD

Contact Information

Alfredo Cortell-Nicolau, PhD

Contact Information

Biography

Ali Abbas, PhD

Contact Information

Biography

Amy Foreman, PhD

Contact Information

Biography

Andrew Thwaites, PhD

Contact Information

Biography

Dequn Teng

Contact Information

Biography

Dominik Krzeminski, PhD

Contact Information

Biography

Gregory Serapio-García

Contact Information

Biography

Haifeng Niu, PhD

Contact Information

Biography

Filter by area of expertise

Filter by research communities:

Study at Cambridge

About the University

Research at Cambridge