Stanford University
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Richelle Smith
Postdoctoral Scholar, Electrical Engineering
BioRichelle L. Smith is a Postdoctoral Scholar and Instructor at Stanford University in Electrical Engineering. She received the B.S. and M.S. degrees in Electrical Engineering-Electrophysics from the University of Southern California (USC) in 2017, and the M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 2019 and 2024, respectively.
Her research interests include analog/mixed-signal circuit design and energy-efficient systems, with a focus on phase-domain communications and computing. Recent projects encompass oscillatory computing for combinatorial optimization, quantum computing emulation with oscillator circuits, brain-inspired/neuromorphic circuit design, as well as wireline transceivers and phase-domain/edge modulation signaling.
She has acted as a technical consultant to Rambus Labs. She has held internship positions at Linear Technology, Rambus Labs, Stanford Brains in Silicon Lab, TDK-InvenSense, and Silicon Laboratories. She holds 5 U.S. patents. Dr. Smith serves as a Reviewer for IEEE Transactions on Circuits and Systems—Part I: Regular Papers, IEEE Transactions on Circuits and Systems—Part II: Express Briefs, and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
Selected Awards:
• SPOTLIGHT paper, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2024
• IEEE Solid-State Circuits Society (SSCS) Predoctoral Achievement Award, 2022–2023
• ARCS Foundation Northern California Fellowship (William K. Bowes, Jr. Foundation Scholar), 2022–2024
• Cadence Women in Technology Scholarship, 2021
• Analog Devices Outstanding Student Designer Award, 2019
• Stanford Graduate Fellowship (Sang Samuel Wang Scholar), 2017–2022
• NSF Graduate Research Fellowship, 2017–2022
• USC Discovery Scholar Prize, 2017
• Astronaut Scholarship, 2016
• Barry Goldwater Scholarship, 2016
• Tau Beta Pi Forge No. 42 Scholarship, 2015
• Rambus Innovator of the Future Scholarship, 2013
• USC Trustee Full Tuition Scholarship, 2013–2017 -
Sanne Smith
Lecturer, Initiative Program Staff
BioSanne Smith is the director of the master’s program in education data science and a lecturer at Stanford Graduate School of Education.
Her research interests center around the study of social networks and the creation of thriving, diverse contexts. She has studied, for example, why adolescents tend to segregate within schools, how interdisciplinary centers boost scholar productivity and how social capital within neighborhoods offsets ethnic health inequalities. Her work has appeared in the American Journal of Sociology, Social Networks, Research Policy and Social Science Research.
Her teaching includes courses that introduce students to coding, data wrangling and visualization, supervised and unsupervised machine learning (e.g., hierarchical linear modeling, structural equation modeling, factor and principal component analysis), and interpretation of quantitative data.
Prior to directing the GSE master’s program in education data science, she worked as a research scientist at the Center for Population Health Sciences at Stanford and carried out national survey collection for the Children for Immigrants Longitudinal Survey in Four European Countries in the Netherlands.
