Ronan Laker Email & Phone Number

United Kingdom

Optimised the roll-out strategy for a new product to scale by 100x using linear programming. Surfaced the optimisation model as a web app, allowing stakeholders to self-serve requests and understand the problemCreated, and helped productionize, LightGBM classifier for train ticket prices to help improve efficiency by 40%Designed and built ETL pipelines for.

London

Using machine learning (random forests in Scikit-Learn) to model the magnetic profile of the Solar Orbiter heaters, which is crucial for the continuous operation of the instruments. Working with engineers in a multi-disciplinary team

• Self-directed the research which included: data intake, cleaning, generating insights and disseminating the results in posters and technical reports
• Led five peer-reviewed papers and worked with collaborators on another 15 projects using data from the NASA Parker Solar Probe mission
• Presented at several international conferences, including two invited talks
• Recipient of the Imperial College London President's PhD scholarship
• Technical skills: Python, Git, data wrangling, Statistical analysis, time series analysis, wavelet decomposition, spectral analysis, dynamic time warping

Undertook a summer research project entitled `Predicting the Geo-Effectiveness of Coronal Mass Ejection (CME) Driven Sheaths using Remote-Sensing Observations'Attempted to predict the effectiveness of CME driven sheaths on Earth, using only images of the Sun to estimate a shock orientation.

Doctor Of Philosophy - Phd, Physics

Thesis title "Investigating the structure of the near-Sun solar wind" Used time series data from several spacecraft to investigate both.

Master’S Degree, Physics, Graduated Top Of The Msci Cohort (1St Out Of 149 Students)

Activities and Societies: Imperial College Men's Football societyProject used numerical models to predict the conditions at the newly.

High School

A* in physics, mathematics and further mathematics at A-level 11A* at GCSE