Can Dincer

Prof. Can Dincer is a Professor of Sensors and Wearables for Healthcare at the TUM School of Computation, Information and Technology, Technische Universität München (TUM). His research focuses on bioanalytical materials, wearable sensors, and AI-driven diagnostics for One-Health applications, integrating disposable sensor technology with data science. He holds a doctorate from the University of Freiburg (summa cum laude, 2016) and worked as a visiting scientist at Imperial College London before joining TUM in 2024. He is a member of the Munich Institute of Biomedical Engineering (MIBE).

Key research interests include:

• Development of wearable biosensors for real-time health monitoring
• CRISPR-based diagnostics for nucleic acids and proteins
• AI integration for therapeutic drug monitoring in sepsis and other critical conditions
• Environmental health connections via point-of-need diagnostics

Notable achievements include the 2021 Biosensors & Bioelectronics Best Paper Award and inclusion in Stanford's World's Top 2% Scientists since 2022. His work spans clinical applications, microfluidic platforms, and nanotechnology-based solutions for healthcare challenges.

Publications highlight innovations like optogenetic bioassays (Science Advances, 2024), CRISPR-powered multiplexed biosensors, and wearable systems for continuous biomarker monitoring. His research bridges material science, electrical engineering, and biomedicine to create practical diagnostic tools.

Prof. Dincer collaborates across disciplines, focusing on translating lab innovations into clinical and commercial applications through advanced sensor technologies.