Sascha Ranftl
Erwin Schrödinger Fellow
Brown University

Welcome! I am an interdisciplinary scientist with focus on probabilistic and Scientific Machine Learning (SciML) and a physicist by training. Here is my Google Scholar and my ORCiD.

My research interests: 

Scientific machine learning (AI4Science, AI4Engineering), Bayesian probability theory, uncertainty quantification, data analysis, scientific computing, computational physics & computational engineering. I am interested in theoretical foundations, methodological development and interdisciplinary applications in mechanical-, biomedical-, electrical-, civil-, computer-, and aerospace-engineering.

Short bio:

I am currently a postdoctoral fellow at Brown University, Division of Applied Mathematics.

Before that, I was a postdoctoral fellow at the Courant Institute of Mathematical Sciences, New York University, supported by an FWF Erwin-Schrödinger-Fellowship.

Before that, I was a Principal Investigator at TU Graz, Austria, at Graz Center for Machine Learning and Graz Center for Computational Engineering, and Visiting Scientist at the Munich Institute for Astro-, Particle and BioPhysics, Germany, and at Santé Ingénierie Biologie St-Étienne at École nationale supérieure des mines de Saint-Étienne, France. In that time, I have also co-founded the spin-off company arterioscope FlexCo for next generation predictive diagnostic intelligence from electrocardiographic signals.

Before that, I was a PhD student and then a postdoctoral associate at TU Graz, Austria, at the Institute of Theoretical & Computational Physics.

Before that, I did a Bachelor's + Master's in Engineering Physics at TU Graz, Austria.

Before that, I was a triathlete in physics olympiad, chemistry olympiad, and maths olympiad with a computer science hobby.