Daniel Becking is a PhD student dedicated to the field of efficient deep learning. His research explores advanced topics such as neural data compression, neural codecs, and neural representations. He is also interested in understanding the biological counterparts of these neural representations.

Becking has been associated with research institutions including the Fraunhofer Heinrich Hertz Institute HHI and Fraunhofer IZM Berlin.