Rodrigo Ferreira

Rodrigo Ferreira is a Molecular Engineering PhD candidate at the University of Chicago, advised by Prof. Junhong Chen. Ferreira received his Bachelor’s degree in Aerospace Engineering and Master’s degree in Physics from the Aeronautics Institute of Technology in Brazil. After completing research internships at Stanford University and University of California, Los Angeles, he joined the University of Chicago in 2023. His research interests revolve around the intelligent design of 2-dimensional synaptic transistors for enhanced sensing platforms. Ferreira is applying machine learning in two ways: 1.) using neuromorphic spiking graph neural networks (SGNNs) for better material screening to compose the sensors; and, 2.) developing novel time-series foundation models (TSFMs) for improved signal processing and drift correction. With work accepted in materials science journals and top AI conferences (e.g. NeurIPS), Ferreira seeks to improve sensing platforms across the full stack, from device design to signal processing.