Volker Markl

Prof. Dr. Volker Markl is a leading academic in scalable data science and systems research. He serves as Professor and Head of the Database Systems and Information Management (DIMA) group at Technische Universität Berlin, Chief Scientist at the German Research Center for Artificial Intelligence (DFKI), and Director of the Berlin Institute for the Foundations of Learning and Data (BIFOLD). His work bridges hardware architectures, dataflow systems, and machine learning.

• Professor, Technische Universität Berlin (2008–present)
• Chief Scientist & Research Area Lead, DFKI (2018–present)
• Director, BIFOLD (2020–present)
• Co-Director, Berlin Center for Machine Learning (2018–2020)

Research focuses on scalable data processing using novel hardware architectures, declarative data analysis, and systems for heterogeneous data. Key areas include graph mining, text mining, and GPU-accelerated analytics.

His recent publications address dataflow optimization, GPU-based CSV loading, and IoT data management. Awards highlight his contributions to VLDB, SIGMOD, and German digital innovation.

• ICDE 2021 Best Paper
• ACM SIGMOD 2020 Best Paper
• Germany’s "Leading Digital Mind" (2014)
• Versatile leadership in VLDB Endowment