His master's thesis led to multiple papers and an invention disclosure (declined patent) with the MIT Technology Licensing Office. Won several awards including 2nd Tier Prize at the Metaverse Hackathon by Ultrahack (2023), Climate Action Programme Seed Research Grant (2022), among others.
Research Experience
During his doctoral studies, focused on research areas that intersected machine learning, IoT, and climate science.
Education
Graduated cum laude with an MSc in both Embedded Systems and Computer Science from TU Delft in 2022, completing his master's thesis as a visiting student at MIT Senseable City Lab. Pursued a Ph.D. at TU Delft, funded directly by the faculty, allowing high flexibility in research areas intersecting machine learning, IoT, and climate science.
Background
Research interests include IoT, hardware-software based sensing, and applied problems in machine learning. Has a strong background in the domains of embedded systems and computer science.
Miscellany
In his free time, enjoys outdoor running, strength training, learning Latin dance, and playing beach volleyball recreationally. Aims to learn more about world economics, philosophy, and new cultures through reading, listening to podcasts, and engaging with diverse people.