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Yasmin Fathy

SDE | Research Visitor

EMBL-EBI | University of Cambridge

Biography

Yasmin Fathy is now a Software Developer in Genome Analysis at the European Bioinformatics Institute (EMBL-EBI). She is part of the Ensembl Regulation team to develop and maintain the Ensembl Regulation’s computational pipelines.

She is also a Fellow of the U.K. Higher Education Academy, a Research Visitor at Cambridge Service Alliance (CSA) at the Department of Engineering, University of Cambridge and a Volunteer Instructor at Code First Girls (CFGs).

Before joining EBI, she was a Research Associate in IoT and Machine Learning at the University of Cambridge and a KTP Research Associate in Data Science and Machine Learning at UCL, Computer Science department.

She obtained her PhD in Electrical and Electronic Engineering from the Institute for Communication Systems (ICS) at the University of Surrey under the supervision of Prof. Payam Barnaghi and Prof. Rahim Tafazolli and MSc in Applied Science and Engineering from Vrije Universiteit Brussel (VUB) in Belgium.

     

What’s new?

  • Y Fathy, M.Jaber and A. Brintrup,“Learning with Imbalanced Data in Smart Manufacturing: A Comparative Analysis” (to appear in) the IEEE Access Journal, 2020.
  • I am now a Volunteer Instructor for programming courses at Code First Girls (CFGs).
    • Code First Girls (CFG) is a non-profit social enterprise for transforming tech by providing the skills, space and inspiration for women to become kick-ass developers and future leaders.

Experience

 
 
 
 
 

Volunteer Instructor

Code First Girls

Jan 2021 – Present UK
  • Courses: Introduction to Data & SQL Programming
  • Code First Girls (CFG) is a non-profit social enterprise for transforming tech by providing the skills, space and inspiration for women to become kick-ass developers and future leaders.
 
 
 
 
 

Software Developer in Genome Analysis

The European Bioinformatics Institute (EMBL-EBI).

Sep 2020 – Present 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 Visitor

Cambridge Service Alliance (CSA), University of Cambridge

Sep 2020 – Present UK
 
 
 
 
 

Research Associate in IoT and Machine Learning

University of Cambridge

Sep 2019 – Aug 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).

Teaching

 
 
 
 
 

Main Supervision

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

Jan 2020 – May 2020 UK

Student(s):

  • Nikolas Hoehme “Collaborative Analytics Framework for Manufacturing Applications
 
 
 
 
 

Co-supervision

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

May 2019 – Aug 2019 UK

Student(s):

  • 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.