Data Champions Search

Junaid Bhatti

Research Development and Innovation Manager

Department of Psychiatry

Areas Of Expertise:

SQL, Data Management Plans, Data collection, Database design, Data architecture, Sensitive data, Research data ethics, Data protection and research, Discipline-specific repositories, Data sharing, Data archiving, Open data, Surveys, Imaging, Textual data, REDCap, Socal media and digital communications, Video editing, Illustration, Website development

Contact Information

jb898@medschl.cam.ac.uk

Biography

I’ve been working in the Department of Psychiatry for almost a decade now. I specialise in improving process and workflow and in research data management. I also work in branding, digital recruitment, website design and administration, social media management, and data architecture. I am particularly good at thinking of new and creative solutions to emerging problems. I am currently working on ways to govern and organise the many research projects within my department and in the School of Clinical Medicine, and on creating ways to share research and imaging data (MRI, PET etc) openly.

Leontien Talboom

Technical Analyst

Areas Of Expertise:

SQL, Data visualisation, Data Management Plans, Database design, Data storage, Data sharing, Open data, Data archiving, Data preservation, Website development, Web archiving

Contact Information

lkt39@cam.ac.uk

@makethecatwise

Biography

Leontien Talboom is a technical analyst in the digital preservation team, located at Cambridge University Library. Her role involves transferring data from digital carriers (optical discs, hard drives, floppy disks, etc.) to a more secure digital repository.

Lyuba Bozhilova, PhD

Bioinformatician

Areas Of Expertise:

R language, Git, SQL, Data visualisation, Machine learning, Statistical analysis, Version control, Licensing, Copyright, Discipline-specific repositories, Code sharing, Bioinformatics, Relational data, Neo4j

Contact Information

ORCiD:

Biography

Lyuba is a bioinformatics postdoc based at the MRC Mitochondrial Biology Unit. She is interested in better understanding the uncertainties and biases associated with data collection, and how they affect downstream bioinformatics analysis.

Mark Fernandes

Bioinformatics Training Developer

Cancer Research UK Cambridge Institute

Areas Of Expertise:

File sharing systems, Big data, Discipline-specific repositories, Repositories (general), Licensing, Copyright, Sensitive data, Code sharing, Bioinformatics, RDM training, Coding, Python, R language, SQL, Git, Database design, Data storage, Workshop delivery, Social media and digital communications, Video editing, Website development

Contact Information

mark.fernandes@cruk.cam.ac.uk

@MAFatCRUK

My LinkedIn Profile

Biography

I have over 30 years experience of Scientific Computing. I have worked on Image analysis of Light Microscopy images, Scientific IT Support (13 years), Data-driven web applications of mathematical models and Bioinformatics Training at the Institute of Food Research (Now the Quadram Institute). I have been involved in an EU Framework Database Workshop. I strive to include good data-handling and reproducibility practices into all training materials.

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.

Swati Rajwal

Research Assistant

Department of Engineering

Areas Of Expertise:

Python, Git, SQL, Machine learning, Data collection, Version control, Research data ethics, Data protection and research, Code sharing, Writing/publishing data papers, Surveys, Bioinformatics, Social media & digital communications

Contact Information

sr2050@cam.ac.uk

@SwatiRajwal

My LinkedIn Profile

Biography

Swati is a Research Assistant in the Department of Engineering at the University of Cambridge. Currently, her research focuses primarily on understanding the temporal structure of pain through behavioral assessment of chronic pain patients. In addition to her research, she actively participates in mentorship initiatives such as Google’s WomenTechmaker Program. Prior to joining Nox lab, she worked with collaborators from Mayo Clinic, Oxford University, and Accenture Research Lab.

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/

Junaid Bhatti

Contact Information

Biography

Leontien Talboom

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Biography

Lyuba Bozhilova, PhD

Contact Information

Biography

Mark Fernandes

Contact Information

Biography

Qi Wang, PhD

Contact Information

Biography

Swati Rajwal

Contact Information

Biography

Yasmin Fathy, PhD

Contact Information

Biography

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