Janek Gröhl is a data scientist working on developing deep learning methods to tackle the problem of quantitative photoacoustic imaging. To achieve this, he uses biophysical models of light and sound propagation in tissue to create training data that inform data-driven models. He uses digital twins of imaging systems and real-world test objects to calibrate the numerical models and to investigate semi-supervised methods that bridge the remaining simulation gap.

He is a Walter Benjamin Programme Fellow working with Prof. Sarah Bohndiek at Cancer Research UK, Cambridge Institute in the United Kingdom. He received his bachelors and masters degree in medical informatics from the University of Heidelberg and Heilbronn University of Applied Sciences in 2016. He conducted his PhD studies at the German Cancer Research Center (DKFZ) in the division under supervision of Prof. Lena Maier-Hein and received his PhD thesis with summa cum laude from the medical faculty from the University of Heidelberg in April 2021.

Janek Gröhl is taking a leading role in the International Photoacoustic Standardisation Consortium (IPASC), a community-driven effort to facilitate inter-institutional collaborations in the field of photoaocustic imaging. To enable this, Janek Gröhl is involved in developing a stadardised metadata definition to accompany photoacoustic time-series and is leading a project group to make image reconstruction algorithm available open-source.

Link to full CV