Data Champions Search

Dr Pratheeba Vimalnath is a Post-Doctoral Research Associate at the University of Cambridge, Institute for Manufacturing. She is currently working for the interdisciplinary and international research project IPACST that aims to study the role of IP strategies in accelerating sustainability (social, environmental and economic) transitions. Her research interests broadly include intellectual property strategies, green innovations, and technology and innovation management. She is also a College Research Associate at Wolfson College and an Interest Group Champion for Cambridge Global Challenges (CGC). She holds a doctorate degree in Intellectual Property Management, a Master’s degree in Technology Management and a Bachelor’s degree in Computer Science and Engineering, from India.

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

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 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/