Rate My Professor Gregor Peltri

Peltri's career encompasses applied mathematics and statistical analysis in industry and academia. He worked at pe Diagnostik GmbH's Department of Data and Process Analysis, co-authoring the 2003 paper 'Increased predictive value of parameters by fuzzy logic-based multiparameter analysis of tumor markers for small-cell lung cancer' in Cytometry Part B: Clinical Cytometry. He provided statistical consulting through ACOMED and independently as Dr. rer. nat. Gregor Peltri, Statistische Dienstleistungen. At HTWK Leipzig, his expertise in mathematical modelling of data sets is reflected in collaborations yielding 'Statistical Interpretation of Semi-Continuous Anaerobic Digestion Data' (Chemical Engineering & Technology, 2016), 'A Predictive Tool for the Effect of an Arbitrary Spectral Irradiance' (Studies in Conservation, 2018), and 'Modeling of Light-Induced Changes in Reflectance Spectra' with Beate Villmann and Christian Weickhardt (2019). In teaching, he cultivates an error-friendly atmosphere, employs themed progressive tasks, bi-weekly assignments mirroring exam formats, student recordings in exams, and individualized support as a 'Lerncoach.' For these methods in Mathematics I and II, he earned second place in the 2024 HTWK Lehrpreis. Peltri also administers the MNZ PC-Pool and software responsibilities.