Personal profile

Scientific Career

Prof. Schüffler's (*1983) field of research is the area of digital and computational pathology. This includes novel machine learning approaches for the detection, segmentation and grading of cancer in pathology images, prediction of prognostic markers and outcome prediction (e.g. treatment response). Further, he investigates the efficient visualization of high-resolution digital pathology images, automated QA, new ergonomics for pathologists, and holistic integration of digital systems for clinics, research and education.

Prof. Schüffler received his BSc and MSc in Computational Biology at the Saarland University and the MPI, Saarbrücken, Germany. In 2015, he graduated his doctoral studies in machine learning for medical image data analysis at the ETH Zurich, Switzerland. He deepened his expertise in digital and computational pathology as a Postdoc and Sr. ML Scientist at the Memorial Sloan Kettering Cancer Center New York, USA, where he co-founded Paige. In 2021, Prof. Schüffler was appointed to the professorship for computational pathology at TUM.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Fingerprint

Dive into the research topics where Peter Schüffler is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or