Joh Schöneberg was a BIDS Data Science Fellow and a postdoc in Molecular and Cell Biology at UC Berkeley where he worked with the Drubin, Hockemeyer and Betzig labs on advanced lattice light-sheet (LLSM) imaging. Joh combined experiments with theory: organoid tissue culture with the development of sophisticated 4D image analysis pipelines. Imaging technology, particularly through LLSM, has greatly surpassed the means of analyzing and even handling the acquired data (terabytes). Joh used Python, Jupyter, and Matlab to prototype algorithms (3D and 4D machine learning, AI and neural nets) that can handle the unique requirements of LLSM. For production, Joh developed high-performance code in C++, parallelized on CPUs and GPUs. Previously, Joh worked with the Hurley, Bustamante (UC Berkeley) and Hummer (MPI of Biophysics) labs where he combined optical tweezing with membrane biophysics. He successfully reconstituted the ESCRT pathway for the first time and built a microscope that combines force (IR laser based optical trap) with fluorescence (4 color solid state confocal), the Confleezers 1.0.
At UC Berkeley, Joh served on the Advisory Committee for Grad Student and Postdoc Professional Development. He had previously served on the board of the Berkeley Postdoc Entrepreneurship Program (BPEP). In 2017, Joh cofounded the North America Chapter of the Marie Curie Alumni Association where he serves as the West Coast Coordinator.
Joh completed his PhD in Berlin, working with Frank Noé at the International Max Planck Research School for Scientific Computing and FU Berlin. In his PhD (summa cum laude, 2014), Joh developed a new method for particle-based reaction diffusion (PBRD) simulation which he implemented as a high-performance computing software library named ReaDDy (> 100k LOC, object oriented, unit tested, modular, GPU accelerated).