Sebastian Baunsgaard
Sebastian Baunsgaard
Doctoral Researcher
Sebastian Baunsgaard is a Ph.D. student at TU Berlin. His research focus is exploiting data structures in programs via workload-aware compression. Sebastian is a frequent contributor to open source code and is a PMC member in Apache SystemDS with contributions ranging from high-level compilation techniques to low-level tight-loop optimization of kernels. Sebastian received his bachelor’s and master’s from ITU Copenhagen, specializing in advanced computing and algorithms. His dissertation is on the subject of speech recognition. Before starting his Ph.D., Sebastian worked with automatic test setup, and installation of high-end cameras at Phase One, and full-stack web development in Zen Data Aps.
- Machine Learning Systems
- Compressed Linear Algebra
- Workload-aware Adaptation
Sebastian Baunsgaard, Matthias Boehm
AWARE: Workload-aware, Redundancy-exploiting Linear Algebra
Sebastian Baunsgaard, Matthias Boehm, Kevin Innerebner, Mito Kehayov, Florian Lackner, Olga Ovcharenko, Arnab Phani, Tobias Rieger, David Weissteiner, Sebastian Benjamin Wrede
Federated Data Preparation, Learning, and Debugging in Apache SystemDS
Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan, Stefan Geißelsöder, Philipp Marian Grulich, Michael Hildebrand, Kevin Innerebner, Volker Markl, Claus Neubauer, Sarah Osterburg, Olga Ovcharenko, Sergey Redyuk, Tobias Rieger, Alireza Rezaei Mahdiraji, Sebastian Benjamin Wrede, Steffen Zeuch
ExDRa: Exploratory Data Science on Federated Raw Data
8 researchers represented BIFOLD at SIGMOD 2023
Eight members of the BIFOLD team took the chance to showcase their recent work at SIGMOD 2023 in Seattle through a diverse array of presentations, including research papers, workshop papers, and a demo paper – all of them underscoring the institute's commitment to cutting-edge research in the field of data management.