Cole Johnston, PhD
Data science | Time-series analysis | Probabilistic modeling | Statistics | Machine learning
Convection is runaway buoyancy. Machine learning is runaway statistics.
Hi there! I’m a quant in power and gas trading at Sumitomo Corporation Global Commodities. I have background as a data science / astrophysics researcher with a decade of experience in exploring our Universe through the lens of data. I hold a PhD in Astrophysics from KU Leuven and have been fortunate enough to work as a postdoctoral researcher KU Leuven in Belgium, as a postdoctoral at Radboud University in the Netherlands, as an independent research fellow at the Max Planck Institute for Astrophysics in Garching, Germany, and as an independent Newton International Fellow with the Royal Society at the University of Surrey in the UK.
I really enjoy working at the intersection of several fields - which is why my research involves integrating statistics, machine learning, and probabilistic modelling to understand different problems. In general, this lets me play around with complex, large-scale, and multi-dimensional datasets to uncover hidden patterns and make high-precision inferences. My work spans a range of methods, from developing bespoke models for astronomical signals to creating trading analytics for European power markets.
Outside of work, I can often be found hiking up mountains or cycling up hills.