The Early Career Prize of the SIAM Activity Group on Geometric Design (SIAG/GD), established in 2018, is awarded to an outstanding early career researcher in the field of geometric design and processing for distinguished contributions to the field in the five calendar years prior to the year of the award.

Martin Skrodzki received his PhD from Freie Universität Berlin (FU Berlin) under the supervision of MATH+ member Konrad Polthier and with the support of the Berlin Mathematical School (BMS). He is currently an assistant professor at TU Delft in the group of Computer Graphics and Visualization. His research on 3D-scanning, point clouds, denoising, and visualization, as well as his novel activities on illustrations of mathematics, are described as exceptional.

Commenting on his award, Skrodzki said: “This award is a tangible recognition of the hard work and dedication me and my collaborators have put into this research. It validates our efforts, and we are both humbled and excited about this distinction. It will open up new opportunities, which can help me continuously develop myself as a researcher and further my career.”

He studied mathematics and computer science in Dortmund (Germany), Laredo (USA), and Berlin, where he graduated with a Dr. rer. nat. in 2019 from FU Berlin. While doing his PhD, he was also a member of the C05 Project “Computational and structural aspects in multi-scale shape interpolation” of the Collaborative Research Center (SFB) “Discretization in Geometry and Dynamics” SFB Transregio 109, funded by the German Research Foundation (DFG). After obtaining his PhD, he held postdoctoral positions at the Institute for Computational and Experimental Mathematics (ICERM) at Brown University, the RIKEN Institute (Japan), where he was funded by the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes), and at TU Delft (Netherlands) with support of the Walter-Benjamin-Program of the DFG.

Martin Skrodzki’s research interests include the visualization of high-dimensional data, discrete geometry processing as well as interactions between mathematics and art. They are also set between Computer Science and Mathematics. He is concerned about all issues related to point and data sets. This includes the acquisition of point sets via 3D-scanning or higher-dimensional forms of data collection as well as their processing afterwards. Key terms for the latter are denoising, cluster algorithms, and visualization. In regard to visualization, he is interested in illustrations of mathematics in the broadest sense, including, e.g., virtual reality, 3D printing, and computer animations.

Please visit the personal homepage of Martin Skrodzki for more information.