Dr. Lauritz Thamsen | HU Berlin & TU Berlin
I am currently a guest professor in the Department of Computer Science at HU Berlin, where I teach courses on Data-Intensive Systems, substituting for Ulf Leser, and I am a senior researcher at TU Berlin, where I drive the work on Adaptive Resource Management (ARM) in the research group on Distributed and Operating Systems (DOS) with a team of PhD students and lectured on Cloud Computing as well as Distributed Systems. Aside of this, I started the diselab, an active and close collaboration between researchers from TU Berlin and Hasso Plattner Institute (HPI) on distributed systems engineering, and am involved in the collaborative research centers BIFOLD and FONDA, the international teaching network ide3a, the interdisciplinary projects WaterGridSense, OPTIMA, and Telemed5000, as well as the graduate school in Data Science HEIBRiDS.
I got my PhD from TU Berlin, working on resource management for distributed dataflows in the BMBF-funded Berlin Big Data Center and the DFG Research Unit Stratosphere under Odej Kao. Prior to that, I was part of the Software Architecture Group of Robert Hirschfeld at HPI, the HPI Research School, and the HPI-Stanford Design Thinking Research Program. I also worked at SAP Labs in Palo Alto, California, in the Technology Infrastructure Practice group, under Dan Ingalls, and at Signavio in Berlin. Other past projects include research collaborations with Bundesdruckerei GmbH and Bedarra Research Labs.
My research is located at the intersection of distributed systems, information systems, and operating systems, where I am generally passionate about systems research and making computing more accessible. More specifically, my interests include resource management and scheduling, cloud and fog computing, scalable and fault-tolerant distributed systems, as well as data-intensive applications. Currently, I am looking into easy-to-use, yet efficient distributed data processing on diverse large cluster infrastructures and dependable data-intensive systems in context of the Internet of Things.