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Tomos David

Tomos David

Physicist | Applied Mathematician

Talents
Lyon 03, Arrondissement de Lyon, RhôneMembre depuis 18 mars 2023
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À propos

I am a postdoctoral researcher working at ENS de Lyon looking to make a career change from academia to work in industrial and business sectors as a data scientist with the aim to settle long term here in France. With the developments over the last few years in the field of machine learning and artificial intelligence I am excited by the opportunity to contribute my skills, experience and talents to this world changing industry. I have five years professional experience working as a scientist which has involved working with a diverse range of data and I am looking forward to the opportunity to work in industry as a data scientist.

As a data scientist I would offer a unique background of highly interdisciplinary science, the ability to quickly learn new programming languages ​​and software and excellent interpersonal and communication skills as evidenced by my extensive teaching experience. I believe my key assets is a high degree of neuroplastisity and a very deep and broad foundation in mathematics and science.

Expérience

  1. Postdoctoral Researcher, Influence of symmetry and topology on geophysical waves

    ENS de Lyon/CNRS 2020- present

  2. Postdoctoral Researcher, Devonian tides and their influence on the evolution of early tetrapods

    University of Oxford 2017-2020

  3. Doctoral Student, Statistical physics interpretation of Southern Ocean mesoscale turbulence, University of Oxford 2013-2017
  4. Tutor, undergraduate physics courses, University of Oxford 2014-2020
  5. Vacataire/ Tutor & Lecturer , Masters Courses in Physics and Maths, ITech Engineering School, Lyon 2020-present

Formation

Masters Degree in Physics, University of Oxford (MPhys) 2009-2013

PhD Physics, University of Oxford 2013-2017

Extensive expertise in the following areas: Python, MATLAB, Mathematica, FORTRAN, Git, LA TEX, Scilab Numerical modelling, Statistical modelling, Mathematical optimization, Analytical calculation, Ensemble modelling, Time series analysis, Fourier methods, Information theory, Probability theory, Hypothesis testing. Additional independent professional learning and development in Machine Learning and SQL.

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