Hendrik Strobelt was born in former East Germany. He completed his Abitur (A levels) at Käthe Kollwitz Gymnasium Zwickau. He then went on to study Computer Science, obtaining a Dipl.-Inf. (MA) from TU Dresden in 2007, and a Dr. rer. nat. (PhD) from Uni Konstanz in 2012.
Strobelt has held various academic and research positions throughout his career. From 2013 to 2014, he was a PostDoc in Computer Science at NYU Tandon, New York. This was followed by a PostDoc position at Harvard University's School of Engineering and Applied Sciences (SEAS) from 2014 to 2016.
Since 2017, Strobelt has been a Senior Research Scientist at IBM Research in Cambridge, MA, where he also serves as the Explainability Lead for the MIT-IBM Watson AI Lab. Additionally, he has held visiting researcher and adjunct faculty positions at MIT and CMU, respectively. In 2022, he became a Professor of Computer Science at Uni Konstanz, Germany.
Strobelt has a strong interest in the visualization of large data sets, particularly unstructured or semi-structured data, biological data, and neural network models. He has published extensively in this field, with notable works including:
Strobelt is actively involved in the research community, regularly reviewing for conferences and participating in program committees. He has also served as a general or hybrid chair for various conferences, including IEEE VIS 2022 and NeurIPS (2020-23).