Yasmin Fathy

Research Associate

University of Cambridge


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).


  • Internet of Things (IoT)
  • Data Analytics
  • Digital Twin
  • Applied Machine Learning


  • PhD in Electrical and Electronic Engineering, 2018

    University of Surrey, UK

  • Graduate Certificate in Learning and Teaching (GCLT), 2018

    University of Surrey, UK

  • MSc in Applied Science and Engineering (Distinction), 2014

    Vrije Universiteit Brussel (VUB), Belgium

  • BSc in Computer Science (Distinction with Honor), 2009

    Helwan University, Egypt



Research Associate at Laing O’Rourke Centre for Construction Engineering

University of Cambridge

May 2021 – Present UK

Responsibilities include:

  • Work package leader in EU Horizon 2020 project; developing software prototypes for automatic 3D reconstruction of structured outdoor environments.
  • Lab Management: administration, purchasing and financial management (estimated budgets & justifications), managing the use of research resources and ensuring that effective use is made of them, and supporting colleagues in developing their research.

Software Development Engineer in Genome Analysis

The European Bioinformatics Institute (EMBL-EBI)

Sep 2020 – May 2021 UK

Responsibilities include:

  • Developing and maintaining the Ensembl Regulation’s computational pipelines.
  • Using AI/ML techniques for creating syntheses (gene annotation and regulatory elements).

Research Associate in IoT and Machine Learning

University of Cambridge

Sep 2019 – Sep 2020 UK

Responsibilities include:

  • Using AI/ML techniques for improving quality of production in industrial operations and manufacturing systems.
  • Measuring and evaluating the effectiveness of developed approaches in a real (industrial) environment.

KTP Research Associate in Data Science and Machine Learning

University College London (UCL)

May 2018 – Aug 2019 UK
Using Data Science and Machine Learning techniques to support recruitment process, particularly in identifying the best candidate applications for a given role or the best role for a given candidate, thereby embedding significant capabilities in the business for future growth.

Software Engineer

ITWorx, Education Department

May 2010 – Sep 2012 Egypt

Responsibilities include:

  • Developing Sharepoint web parts.
  • Designing relational database schemes and complex queries.
  • Designing and implementing (Silverlight/javascript)-based approaches on Connected Learning Gateway (CLG) platform. CLG is an engaging and multilingual social learning platform.
  • Supporting issues for different projects.
  • Developing Sharepoint migration tool ( i.e. migrating site structure from Sharepoint 2007 to 2010).




Foundations of Data Science Course, University of Cambridge

Oct 2021 – Present UK
  • Supervisor for 7 students in the Foundations of Data Science Course

Main Supervisor

MPhil in Industrial Systems, Manufacture and Management, University of Cambridge

Jan 2020 – May 2020 UK


  • Nikolas Hoehme “Collaborative Analytics Framework for Manufacturing Applications


MSc in Data Science and Machine Learning, University College London (UCL)

May 2019 – Aug 2019 UK


  • Ellisya Hanafiah “Analysis of the Bipartite Network of Recruitment Records

Laboratory Demonstrator

University of Surrey

Jan 2015 – Jan 2018 UK

Taught courses:

  • COM2028: Artificial Intelligence.
  • COM3024: Collective Intelligence.
  • EEE3013: Object Oriented Design.
  • EEE2036: Team Working.
  • EEE3035: Leadership.
  • EEE1033: Computer and Digital Logic

Teaching Assistant

Helwan University

Dec 2010 – Sep 2012 Egypt

Taught courses:

  • Concepts of Programming Language.
  • Operating System.
  • Probability and Statistics I.
  • Image Processing.
  • Software Engineering.