Data Champions Search

I joined the Office of Scholarly Communication in November 2018 as Research Data Coordinator for the Research Data Management Facility. I manage the Data Champion Programme as part of my role. I have a PhD in Biological Anthropology from the University of Cambridge and was a Post-doctoral Research Associate at the McDonald Institute for Archaeological Research from 2009–2017, specialising in human evolution and Palaeolithic archaeology. 

Additional areas of expertise:

Archaeology data

Biocuration of lab type IIS standardised DNA registries through LIMS-Benchling and R. Assist in the overall management of OpenPlant lab, including Microscopy Hub. Conduct research in Synthetic Biology and Plant Development.

Additional areas of expertise:

Laboratory Information Management Systems (LIMS) – Benchling.

I am a Postdoctoral Research Associate in the Conservation Science Group at the University of Cambridge, working on a global and updateable model and map of soil carbon in tidal marshes. To do so, I am compiling a global training dataset and will develop the model using R and Google Earth Engine. Previously, I worked on nutrient cycling in forests during my PhD at the French National Research Institute for Agriculture, Food and Environment (INRAE) in Bordeaux, and at Laval University in Quebec, Canada. My professional interests include ecology [forest, soil, coastal], biogeochemistry, global changes, R, data analysis and reproducible coding.

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/