Joel Grodstein is a Lecturer in the Department of Electrical Engineering at Tufts University's College of Engineering. He holds a BSEE from Case Western Reserve University (1981) and an MSCS from the University of Utah (1986). His research spans VLSI design, computer architecture, and interdisciplinary bioelectricity studies, focusing on the intersection of hardware-software systems and biological applications. He teaches courses on real-time embedded systems, parallel computing, bioelectricity, and digital design verification. His career includes roles at Digital Equipment Corporation, Compaq, Intel, and now academia. His recent work bridges computational modeling of bioelectric networks with traditional hardware design, as seen in collaborations with Mike Levin's lab at Tufts. Courses like EE 123 (Bioelectricity) and new offerings like EE 152 (Real-Time Embedded Systems) reflect this dual focus. Publications emphasize symbolic timing analysis, CAD tools for VLSI, and bioelectric systems. He has advised no listed students but collaborates actively with industry partners (e.g., NVIDIA for EE 165). His lab work involves biophysical modeling and synthetic biology projects, as detailed in his recent bioelectricity-related papers.
