Research Scientist at Harvard T.H. Chan School of Public Health
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Imperial College London
Doctor of Philosophy (PhD), Applied Mathematics
January 1, 2013 – January 1, 2018
University of Oxford
Master of Physics (MPhys), Physics
October 1, 2008 – June 1, 2012
University of Oxford
Master of Physics, Theoretical physics and astrophysics
January 1, 2008 – January 1, 2012
Harvard T.H. Chan School of Public Health
Research Scientist
March 1, 2026 – Present
Harvard T.H. Chan School of Public Health
Research Associate
July 1, 2022 – March 1, 2026
Harvard T.H. Chan School of Public Health
Postdoctoral Research Fellow
December 1, 2021 – July 1, 2022
Imperial College London
Postdoctoral Research Associate
August 1, 2020 – December 1, 2021
Spotify
Staff Research Scientist
January 1, 2020 – July 1, 2020
Imperial College London
Academic Visitor
February 1, 2018 – August 1, 2020
Spotify
Staff Machine Learning Engineer
January 1, 2017 – January 1, 2020
Sonalytic
Principal Research Scientist
July 1, 2016 – January 1, 2017
London Area, United Kingdom
Winton
Assistant Researcher
November 1, 2013 – November 1, 2013
London Area, United Kingdom
Winton
Assistant Data Analyst
January 1, 2013 – May 1, 2013
Greater Oxford Area · On-site
UNamur
Research Assistant
July 1, 2011 – August 1, 2011
Namur, Belgium · On-site
University of Oxford
Research assistant
August 1, 2010 – October 1, 2010
Greater Oxford Area
University of Oxford
Research assistant
August 1, 2009 – October 1, 2009
Greater Oxford Area
Carl Zeiss Group
Software Developer
December 1, 2007 – June 1, 2008
Oberkochen, Germany · On-site
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and machine learning/data science roles, with a strong emphasis on theoretical and statistical modeling. While there is some industry experience at Spotify and Sonalytic, the 'Backend Engineer' target role requires a different set of core competencies, typically involving robust system design, API development, distributed systems, and operational excellence in production environments. The current profile suggests a strong fit for a Machine Learning Engineer or Research Scientist role, but less direct alignment with a pure Backend Engineer role. The diversity of projects is high within the research domain, but less so across traditional backend engineering domains.
Soft Skills & Operational Fit
The candidate's extensive research background suggests strong analytical, problem-solving, and independent work skills. Experience as a Principal Investigator and technical leadership at Spotify indicates leadership potential and ability to drive projects. The academic environment often fosters strong communication and collaboration, though direct evidence of these in a corporate backend engineering context is limited.