Curriculum vitae

Skills

Programming languages: Python, R, Unix, Git, basic Html5 and CSS3. Version control systems: Github, Bitbucket, Gitlab. Database systems: Pyspark, mysql, pysql, Hive, Hadoop. NLP, Machine Learning, Computer vision, Statistics, Epidemiology, Molecular Biology, Confocal Microscopy, Biochemistry, Genetics. Teaching, mentoring, supervision, public speaking and article and report writing skills.

Experience

  • DATA SCIENTIST, BENEVOLENTAI, LONDON - 04/2023 TO PRESENT
  • BIOINFORMATICS DATA SCIENTIST, BENEVOLENTAI, LONDON - 08/2022 TO 04/2023
  • RESEARCH ASSOCIATE/DATA SCIENTIST, COMPUTATIONAL EPIDEMIOLOGY, IMPERIAL COLLEGE, LONDON - 11/2020 TO 08/2022
  • STUDENT ANALYST, DATA SCIENCE LAB, VISA, LONDON — 05/2020-09/2020
  • POSTDOCTORAL FELLOW, THE FRANCIS CRICK INSTITUTE, LONDON — 2016-2019
  • POSTDOCTORAL FELLOW, QUEEN MARY UNIVERSITY, LONDON — 2015-2016
  • PHD RESEARCH, MAX PLANCK INSTITUTE OF BIOCHEMISTRY, MUNICH — 2010-2015

Education

  • Imperial College, London — MSc Health Data Analytics and Machine Learning, 2020. Full scholarship from the School of Public Health.
  • Max-Planck Institute of Biochemistry, Munich — PhD Molecular Biology and Genetics, 2015. European Commission, Marie-Curie FPN7 fellowship
  • Université Paris Diderot, Paris 7 (now Université de Paris) — BSc & MRes Genetics, 2010. Excellence-Major fellowship from the French Government.

Publications

Find the full version of my CV here.