Data Champions Search

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.

Rina Lai

PhD student

Faculty of Education

Areas Of Expertise:

Data sharing policies, Sensitive data, Code sharing, Data analysis, Open Access publication, R language, Data visualisation, Statistical analysis, Data Management Plans, Data collection, Experimental design, Research data ethics, Data protection and research, Open data, Writing/publishing data papers, Surveys

Contact Information

ORCiD:

Biography

My research lies at the intersection of psychology, education, and computer science. I am interested in the philosophical underpinnings of different statistical paradigms and reproducible science. I was previously trained in Bayesian cognitive modeling at the JAGS and WinBUGS workshop (by Prof. Michael Lee and Prof. Eric-Jan Wagenmakers) and Bayesian item response modeling at the University of Twente (by Prof. Jean-Paul Fox).

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.

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.

Xinyi Wen

PhD student

Department of History and Philosophy of Science

Areas Of Expertise:

Data Management Plans, Data collection, Database design, Data architecture, Version control, Data storage, Open data, FAIR Data, Data archiving, Data preservation, Writing/publishing data papers, Textual data, Audiovisual data, Digitisation, Workshop delivery, Social media & digital communications, Website development

Contact Information

xw360@cam.ac.uk

@HPSWarburgian

ORCiD:

0000-0002-2147-2854

Biography

I am a historian of science, medicine and humanities. Currently I am a PhD candidate at the Department of History and Philosophy of Science, University of Cambridge, working on the Wellcome-funded research project "The Doctrine of Signatures in Early Modern Medical Practice (221115/Z/20/Z)". I specialise in the history of medicine, natural history and occult sciences in early modern Europe, and the history of ideas in the long nineteenth century, particularly in the circle of art historian Aby Warburg (1866–1929). Before coming to Cambridge, I have worked as a new media art curator in Beijing.

As a historian, I am very interested in the historical aspect of Research Data Management from early modern botanical taxonomy, nineteenth-century index cards to the digital age. I seek to explore how techniques of data management shaped our perspectives, methodologies, and construction of scientific objects in the long run, and how our RDM practice in humanities today could benefit from past theories and experiences. I am the founder of the History of Science Library, a public Zotero library for the history of science and a resource hub for historical and contemporary data management in humanities. Currently I'm running RDM training sessions both in my department and virtually based at the History of Science Library, please feel free to get in touch.

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/

Qi Wang, PhD

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Rina Lai

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Biography

Sherine Awad Mahmoud, PhD

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Biography

Swati Rajwal

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Biography

Xinyi Wen

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Biography

Yasmin Fathy, PhD

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Biography

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