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PhD in astrophysics, Bachelor in Computer Science, research in cosmology and machine learning
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Institute for Astronomy
Backend Engineer
June 25, 2026 – Present
Matryoshka
August 9, 2021 – November 21, 2023
Neural network based emulators for the galaxy power spectrum.
View Projectarxiv_citation_graph
July 9, 2021 – July 9, 2021
This code downloads information about arXiv publications and attempts to extract information about their bibliography
View Projectbenty_fields_ML_model
December 24, 2020 – December 24, 2020
This code describes the model used in benty-fields to predict which publications users might be interested in
View ProjectHorizonGRound
March 12, 2019 – August 15, 2023
Relativistic effects in ultra-large-scale galaxy clustering
View ProjectStudy-the-Universe-with-Python
October 13, 2017 – October 16, 2017
Code to analyse the BOSS dataset including measurement of the power spectrum and covariance matrix. I also show how to derive a likelihood using MCMC. Based on the python packages nbodykit and emcee.
View ProjectarXiv_recommendation_engine
June 5, 2017 – June 25, 2017
These functions are used to calculate a recommendation engine for www.benty-fields.com, used to predict arXiv papers the user might like
View ProjectpyRSD
May 1, 2014 – February 11, 2019
Accurate predictions for the clustering of galaxies in redshift-space in Python
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic/scientific computing, primarily using Python. While this demonstrates deep technical capability, the diversity of technologies and project types outside of this niche is limited. The target role is 'Backend Engineer', and while Python is a common backend language, the specific application domains (astrophysics, MCMC) might not directly align with typical enterprise backend challenges without further evidence. The candidate's current role is listed as 'Backend Engineer' at an 'Institute for Astronomy', which suggests some alignment, but the breadth of experience for a general backend role is not fully evident.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions suggest a strong independent work ethic and a focus on complex problem-solving.