Steefan is interested in gaining crucial insights from data (such as climate system observations or projections) by using novel statistical and numerical analysis techniques. He is also interested in effectively communicating these insights using simple data visualisations (check out isithotrightnow.com).
During his Phd, Steefan has gained a comprehensive understanding of the complex changes in global rainfall by applying a novel statistical technique that reveals changes in all intensities of rainfall using a brand new dataset of rainfall that he developed by harmonisation, homogenisation, quality control and interpolation of large global data archives. This state of the art dataset is enabling cutting-edge research around the globe. He is now applying his skillset to understand the complex relationships between physical and biological ocean observations in the coastal oceanography group at UNSW Sydney.
Based on his background in experimental quantum computing, he is also interested in algorithms that take advantage of quantum computers to overcome computational constraints on complex analysis of large datasets.
Climate Change Research Centre and ARC Centre of Excellence for Climate System Science, UNSW Sydney
Honours in Physics, 2012
ARC Centre of excellence for Quantum Computation and Communication Technology, UNSW Sydney
BSc (Adv.) in Physics, 2012
School of Physics, UNSW Sydney
Recent & Upcoming
Since 2009, the 2000 km long coastline of New South Wales has been instrumented with a network of moored, remote sensing, and in-situ observing platforms to monitor the EAC and its impact on waters of the highly populated east coast of Australia. This network forms part of the larger national-level Integrated Marine Observing System. This web application allows a quick and easy way for users to explore and interact with the NSW-IMOS ocean observations.
A global land-based gridded dataset of daily precipitation at 1 degree X 1 degree resolution from 1950 to 2013. Two datasets are available under the REGEN moniker. One interpolates all daily precipitation stations available regardless of completeness of station timeseries (available here). A second related dataset interpolates only the long-term stations (stations with at least 40 complete years of data) (available here). Besides the grid cell average precipitation amount per day (mm/day), the Yamamoto standard deviation per grid cell (mm/day), the kriging error per grid cell (%) and number of stations per grid cell variables are also included. For detailed documentation, refer to the journal article.
Including Teaching Positions
Semester 1, 2017, The University of New South Wales
Course: CLIM3001 - Climate Systems Science
Class on Earth’s radiative balance
Aug 2013 – Nov 2014, The University of Sydney
Group: Condensed Matter Theory
Project: Investigation of multiferroic properties of Cobalt doped perovskite ferroelectrics
Ongoing since 2011, The University of New South Wales
Courses: PHYS1160 - Introduction to Astronomy GENS4015 - Brave New World (A course on the physics of science fiction)
Duties include running and marking discussion modules, marking essays and other assignments and explaining theory.
2011 – 2015, The University of New South Wales
Courses: All first year physics courses
Duties included explaining theoretical and experimental concepts, supervising classes of up to 80 students, marking practicals and student projects.