"Organic neuromorphic materials as building blocks for next generation low-energy computing and adaptive biointerfaces."

Yoeri van de Burgt is Associate Professor in the Microsystems Section at TU/e as well as a member of the Institute of Complex Molecular Studies (ICMS), Eindhoven Henrik Casimir Institute (EHCI) and Eindhoven Artificial Intelligence Systems Institute (EAISI). His expertise spans materials science, organic electronics, neuromorphic engineering, cell-material interfaces and laser applications. Tuition includes mechanical engineering, microsystems and design-based learning. Currently, his group neuromorphic engineering is studying the optimisation of materials for organic neuromorphic devices as well as developing neuromorphic systems and circuits for brain-inspired smart biosensors, intelligent robotics and adaptive biointerfaces. He was awarded an ERC Starting Grant in 2017 and an ERC Consolidator Grant in 2024. In 2019 he was elected as an MIT innovator under 35 Europe and in 2023 he won the TU/e Ground-breaking Researcher Award. 

Yoeri van de Burgt obtained his PhD degree at Eindhoven University of Technology in 2014. He then briefly worked at a high-tech startup in Switzerland, after which he obtained a Postdoctoral Fellowship at the department of Materials Science and Engineering at Stanford University (USA) with prof. Alberto Salleo. During his postdoc his research focused on organic neuromorphic materials and electrochemical transistors. At the end of 2016, van de Burgt returned to Eindhoven as an assistant professor where he currently leads the Neuromorphic Engineering group. He has been a visiting professor at the University of Cambridge (UK) in 2017 and Georgia Tech (US) in 2022. In 2019 he was elected to the Eindhoven Young Academy, which he chaired from 2021-2022. He is also member of the scientific advisory board of the Centre for Cognitive Systems and Materials (Cognigron) at the University of Groningen. Yoeri is an associate editor for Frontiers in Neuroscience: Neuromorphic Engineering and Materials Science and Engineering R and he is a member ob the editorial board of IOP’s Neuromorphic Computing and Engineering.