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Education

  • Ph.D. (with Prof. Tom Fearn and Dr. Ioanna Manolopoulou), Department of Statistical Science, University College London (UCL), UK
    • Research and travel awards (Google/ISBA, UCL, IPEP)
  • MSc Statistics & Mathematical Modelling, Department of Mathematics, Aristotle University of Thessaloniki (AUTH), Greece
    • Best paper award for young scientists - SMTDA 2012
    • Research and travel awards (AUTH, IPEP)
  • 7th Summer School on Mathematics, University of Crete (UOC), Greece
    • Travel award (UOC)
  • Erasmus studies, Department of Mathematics, University of Valencia, Spain
    • Travel award (State Scholarships Foundation (IKY))
  • 6th Summer School on Mathematics, University of Crete, Greece
    • Travel award (UOC)
  • BSc Department of Mathematics, Aristotle University of Thessaloniki, Greece
    • 3 awards for outstanding performance (State Scholarships Foundation (IKY))

Work Experience

  • 09/2020 - Present, Raising IT, Data Scientist, London, United Kingdom

  • 02/2020 - 09/2020, Wayhome, Data Scientist, London, United Kingdom

  • 01/2017 - 01/2020, GSK, Principal Statistician / Data Scientist, CMC (non-clinical), Biostatistics, R&D, Ware, Greater London, United Kingdom.

    I provided high quality statistical support to scientists at different groups aiming to improve decision making at various steps during the design of new medicines (tablets or inhalers) for a couple of products, e.g., to treat HIV, Asthma, Anaemia associated with chronic kidney disease.

    • 5 awards for leading innovative and high quality analysis to improve quality of patient’s life

  • 10/2013 - 12/2016, Teaching assistant, Department of Statistical Science, University College London, United Kingdom

  • 02/2012 - 06/2012, Teaching assistant in Statistics, Department of Mathematics, Aristotle University of Thessaloniki, Greece

Volunteering

  • Data Science Specialist, ASA Five College DataFest, Amherst, Massachusetts, USA, Two two-day data-science competitions (2014, 2015).
    • I was responsible for data-science tutoring and explaining Statistics and Machine Learning concepts to undergraduate students.

Technical Skills

  • Programming:

    • Python (e.g., Pandas, NumPy, SciPy, Matplotlib, SciKit-Learn)
    • SQL, Google BigQuery
    • SAS (including High-Performance Computing (HPC))
    • R and Shiny app (including HPC)
    • MATLAB (including HPC)
    • Mathematica

  • User Interface softwares:

    • Tableau
    • Statistica (Advanced analytics software)
    • Design-Expert (DX) (Design, analyse and optimise experiments)
    • SPSS
    • Minitab

  • Operating systems:

    • Windows
    • Linux
    • Mac OS

Professional Membership

  • Promoting Statistical Insight (PSI)

Former Member of

  • Centre for Computational Statistics and Machine Learning (CSML)
  • Network of Computational Statistics and Machine Learning (NCSML)