Daniel Segelcke graduated at the Ruhr University of Bochum, where he received extensive training in behavioral biology and animal pain models for migraine. Following his PhD in 2012, he joined the laboratories of Esther Pogatzki-Zahn (EPZ) at the University of Münster to investigate behavioral, cerebral processing and proteome signatures in animal models for post-surgical, pathogene pain, neuropathic pain, and bone-tumor induced pain. He successfully established novel rodent behavior assays, devices and analytic methods to investigate multidimensional pain modalities in rats and mice in longitudinal studies. Machine learning approaches performs some of these analysis methods. During his time at the University of Münster, he raised peer-reviewed funding for a preclinical systematic review, which investigate the impact of buprenorphine (opioid) in biomedical animal research. During his time at the University of Münster, he raised peer-reviewed funding for a preclinical systematic review, which investigate the impact of buprenorphine (opioid) in biomedical animal research.