My name is Alexandra Diehl. I am a computer scientist dedicated to Data Visualization and Analytics. Through the years, while I strengthened my research on visual analytics, geospatial visual analytics, predictive analytics, and data science, I have also been interested in how can we use these technologies for the wealth of society and nature.
Dr. Alexandra Diehl has built a strong research line in visual analytics applied to meteorology during the last decade. She has been able to keep the research contributions to this line steadily growing along with her main research activities, in a self-driven and independent way. She has established strong collaborations with the Argentinian Research Center for the Sea and the Atmosphere, and MeteoSwiss, Switzerland. Results of these efforts and collaborations include a Digital Society Initiative Fellowship awarded to Dr. Diehl in 2020 to develop the project ”Visual Tools Based on Citizen Data For Improving the Communication of Severe Weather Events”. As a project co-principal investigator, she also contributed significantly to the recent acquisition of the SNF SPIRIT grant "Uncertainty Visualization and Analysis of High-Resolution Numeric Weather Forecasts” 2022.
In recent years, she moved to High-dimensional data analysis and visualization with a strong focus on the incorporation of Machine Learning and Deep Learning techniques as part of Data Analysis and Visualization. The results of these efforts are the current project "ALVA: Automated Learning and Visualization of Autistic Features", 2023.
Education and career steps
PhD in Computer Sciences
University of Buenos Aires
Doctoral thesis: "Visualizing Geospatial Data for Meteorology".
This thesis guides readers through different approaches that address the challenge of designing efficient geospatial visualization solutions with specific applications in meteorology. Our approaches face different visual analytical strategies to assist forecasters in the analysis of operational weather forecasts.
Diploma Engineer - Informatics
University of Buenos Aires
The main focus of my degree career was on Software Engineering, Project Management, but also Signal Processing, Computer Vision, and Electronics.
I am also interested in environmental science, and animal protection activities, and I am a proud member of the Zurich Bird Protection / BirdLife Zurich and the Swiss Bird Protection / BirdLife Switzerland, Die Grüne Partei, and the green team of volunteers at the ZÜRCHER TIERSCHUTZ.
Selected scientific work
Automated Learning and Visualization of Autistic Features is a project with the aim of significantly accelerating the rating of the recordings of therapy sessions digitally stored at FIAS through the use of artificial intelligence (AI) and standardizing the results. A computer-aided application is to be trained using protocols that have already been evaluated and thus build on the work of the previous raters.
Our goal is to develop novel interactive visual analytics (VA) techniques and tools to better support atmospheric scientists in their task of predicting imminent HIWE and subsequent warnings from collections and ensembles of computed weather predictions. The challenges lie in the effective identification, distillation, and analysis of a variety of relevant input data, in particular including high-resolution NWP runs (ensembles) describing different possible scenarios with abundant details about highly relevant small-scale features and using varying input parameters, as well as the limited time-frame available for effectively communicating results.
During my ten years working in academia, I have had the honor to collaborate with colleagues from different continents and areas of expertise. Here there are some very nice pictures, some of their names are on my publications, and all of their names are deeply written in my heart.