•Supervised the automation of a Logging While Drilling (LWD) data processing workflow onto Microsoft Azure, thus improving end-to-end processing turnaround time and reducing human error.•Deployed Internet of Things (IoT) sensors on autonomous drill rigs at an iron ore mine in the Pilbara, Australia.•Acquired Magnetotelluric (MT) data within the frame of the MAY - MT survey to better understand the volcanic system of the island of Mayotte.•Performed a Statistical Epoch Analysis (SEA) using Python over 10+ years of geomagnetic data to assess the significance of pre-earthquake signals; this work lead to an article in the JGR Space Physics (Statistical Analysis of Pre-earthquake Electromagnetic Anomalies in the ULF Range. S. Warden, L. McLean, J. Lemon, D. Schneider. Journal of Geophysical Research: Space Physics, 2020, DOI: 10.1029/2020JA027955).•Developed processing tools in Python to analyze air ion concentration time series; this work lead to an article in the JASTP (Long term air ion monitoring in search of pre-earthquake signals, S. Warden, T. Bleier & K. Kappler. Journal of Atmospheric and Solar-Terrestrial Physics , 2019, DOI: 10.1016/j.jastp.2019.01.009).•Reprocessed a dataset of 90 magnetotelluric stations using Python, thus allowing the client to refine upcoming survey location.•Supervised geophysical surveys in Bolivia, Spain and on the islands of Guadeloupe (in the French West Indies) and Saint Kitts. Trained field personnel, acquired geophysical data, performed in-field QC and data processing.•Participated to a time-lapse MT experiment at the geothermal plant of Þeistareykir, Iceland.•Assessed the feasibility of microseismoelectric monitoring in a geothermal context by modeling the coupled propagation of seismic and electromagnetic waves in porous media for a double-couple source.•Trained more than 30 engineers to hydrogeophysics over the course of 3 months within the frame of an E.U.-sponsorerd project in Tunisia.