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Prof. Dr. Sebastian Schelter

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Technische Universität Berlin

Ernst Reuter-Platz 7, 10587 Berlin

©️BIFOLD/Felix Noak

Prof. Dr. Sebastian Schelter

Research Group Lead

Research Group Lead | BIFOLD

Professor | Technische Universität Berlin

Sebastian Schelter is a Full Professor at the Berlin Institute for the Foundations of Learning and Data (BIFOLD) and Technische Universität Berlin. His research is focused on the intersection of data management and machine learning with the goal to foster the responsible management of data and to democratise data science technologies.

The research of his group is accompanied by efficient and scalable open source implementations, many of which are applied in real world use cases, for example in the Amazon Web Services cloud and in large European e-commerce platforms.

In the past, he has been an assistant professor at the University of Amsterdam, a faculty fellow at New York University, a senior applied scientist at Amazon Research and a research intern at Twitter and IBM Almaden in California. His research contributions have been recognized with an ACM SIGMOD Systems Award, an ACM SIGMOD Best Demo Runner Up Award, and a Best Paper Runner Up Award from the Table Representation Learning workshop at NeurIPS.

2018 Moore-Sloan Data Science Fellowship
2015 Amazon Education Research Grant Award
2012 IBM Faculty Award (with Volker Markl)

  • Data Management for End-to-End Machine Learning
  • Responsible Data Management
  • Massively Parallel Data Processing
  • Scalable Data Mining; Recommender Systems
  • Computational Social Science

  • Apache Software Foundation (emeritus)
  • Association for Computing Machinery (ACM)
  • Electronic Frontier Foundation
  • Deutscher Hochschulverband

 

 

News
Data Management| Jun 12, 2024

Newly appointed BIFOLD Professor: Sebastian Schelter

As of June 1st, 2024, Sebastian Schelter is a full Professor at the Berlin Institute for the Foundations of Learning and Data (BIFOLD) and Technische Universität Berlin. He chairs the Management of Data Science Processes group (DEEM Lab), whose research is focused on the intersection of data management and machine learning.

News
Data Management| Jun 09, 2024

BIFOLD at the 2024 ACM SIGMOD/PODS Conference

BIFOLD researchers presented four research papers, two demos, one workshop paper and were of a panel at the 2024 ACM SIGMOD/ PODS Conference in Santiago, Chile.

News
Data Management| Jun 26, 2023

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.