As Chief Technology Advisor/Officer, Alex is committed to the technological backbone of Crely’s mission: To develop innovative, reliable and high performance wearable sensing technology that provides biomarkers for the early detection of Surgical Site Infections (SSI).
Alex has over 10 years of hands on experience in the design of bio-signal acquisition instrumentation, at the Boston University Neurophotonics Center, at the MGH/HST Martinos Center for Biomedical Imaging at Massachusetts General Hospital, Harvard Medical School, and at the Machine Learning and Neurotechnology Departments of Berlin Institute of Technology (TU Berlin).
His research focuses on multimodal and wearable diffuse optical instruments and multimodal signal processing for telemedicine and neurotechnology applications in the everyday world. In his dissertation, he designed hybrid wearable functional Near Infrared Spectroscopy (fNIRS) and Electroencephalography (EEG) instrumentation and new machine learning based methods for signal analysis and prediction. Up to this date, Alex has 19+ publications in peer-reviewed journals and conferences, 2 patents, and is frequently invited to give talks at various international research institutions and conferences, and to review for more than a dozen high-impact journals in the fields of biomedical technology. His work has been featured and awarded by the IEEE Engineering in Medicine and Biology Society (EMBS), the SPIE professional magazine on wearable technology, the German Society for Biomedical Engineering (DGBMT), the German Ministry of Education and Research (BMBF) and the society for Near Infrared Spectroscopy (sfNIRS), amongst others. He was granted several research scholarships by the Machine Learning Department and BIMoS graduate school of TU Berlin and received the BIMoS award for the best dissertation within the area of data science.
As part of Crely’s strong international and interdisciplinary team, Alex is excited to contribute his expertise in instrumentation design, biosignal acquisition and machine learning based analysis to help improve the health outcome and patient experience after surgery.
He received his PhD summa cum laude in 2018 from Berlin Institute of Technology and the B.Sc./M.Sc. degree in Electrical Engineering from Karlsruhe Institute of Technology (KIT) in 2011/14. He is currently based both in Berlin and in Boston.