School of Engineering
Showing 301-350 of 453 Results
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Mouhssine Rifaki
Graduate Visiting Researcher Student, Electrical Engineering
Current Research and Scholarly InterestsI work on sample complexity reduction in reinforcement learning by exploiting latent structure in Markov decision processes such as low-rank Q-functions, spectral gaps, and manifold geometry. My broader interests lie at the intersection of reinforcement learning, control theory, and multi-agent systems, with applications to autonomous driving and adaptive sensing.
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Charles Roques-Carmes
Postdoctoral Scholar, Electrical Engineering
BioCharles Roques-Carmes is a Science Fellow at Stanford and an incoming Assistant Professor at the Institute of Science and Technology Austria (ISTA). His lab studies and engineers subwavelength light–matter interactions to unlock quantum technologies, advanced microscopes, and next-generation communications and computing platforms—combining rigorous theory with ultrafast electron microscopy, X-ray imaging, and quantum sensing to turn insights into devices. Before joining ISTA, Charles was a Stanford Science Fellow at Stanford University and a Visiting Scientist at MIT, where he earned his PhD in Electrical Engineering and Computer Science in 2022. Charles has delivered 40+ invited talks at major venues including APS, CLEO, and SPIE.
In 2025, he received the inaugural Photonics Innovation Award in honor of Federico Capasso for pioneering achievements that broaden photonics’ frontiers and connect fundamentals to real-world impact; Charles is widely regarded as one of the founders of the emerging field of nanophotonic scintillation. His honors include numerous distinctions such as Forbes 30 Under 30 (Science, 2023), the Stanford Science Fellowship, the MathWorks Engineering Fellowship, the Robert B. Guenassia Award, and a Carnot Foundation Fellowship. He holds M.S. degrees from MIT (2018) and École Polytechnique (2016), and a B.S. from École Polytechnique (2015). -
Luca Rosalia
Postdoctoral Scholar, Bioengineering
BioLuca Rosalia received his bachelor’s and master’s degrees in Biomedical Engineering from the University of Glasgow (UK). During his studies, he visited the National University of Singapore and the University of Cambridge, where he gained his first exposure to the fields of soft robotics and tissue biomechanics. He pursued doctoral studies in the Health Sciences and Technology (HST) Ph.D. program of Harvard University and Massachusetts Institute of Technology in the lab of Ellen Roche and he's currently at Stanford University as a Postdoctoral Scholar in Bioengineering in the Skylar-Scott lab.
His doctoral work primarily focused on high-fidelity and patient-specific soft robotic preclinical models of valvular heart disease, congenital defects, and heart failure with preserved ejection fraction. Luca leveraged these platforms for the testing and development of medical devices through several partnerships with industry. During his studies, he also worked as an R&D engineer in the Structural Heart division of Abbott Laboratories on the development of transcatheter aortic valve replacements (TAVR). He also gained clinical experience at the Veterans Affairs Medical Center in Boston and at Boston Children's Hospital. In the Skylar-Scott lab, Luca will be working on whole-heart bioprinting. -
Côme Rossary
Graduate Visiting Researcher Student, Bioengineering-GRVR
BioWorking on Computer Vision algorithms to analyze the cellular biophysical mechanisms of NETosis and deepen our understanding of neutrophils, which play a central role in cancer research.
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Teresa Salomone
Postdoctoral Scholar, Mechanical Engineering
BioTeresa Salomone is a postdoctoral fellow at Stanford’s Center for Turbulence Research. She earned her PhD through a joint collaboration between Queen’s University in Canada and the University of Campania in Italy. Her research focuses on computational studies of turbulent flows using large eddy simulation and wall modeled large eddy simulation with high performance computing, with an emphasis on roughness, separated flows, and complex external aerodynamics.
More recently, her work has expanded to include simulations of marine species in collaboration with Hopkins Marine Station, where she studies the hydrodynamics of cetaceans to estimate drag, gliding energetics, and cost of locomotion across different species and swimming conditions. She is also exploring how computational fluid dynamics can be applied to questions in human physiology, particularly in modeling cerebrospinal fluid dynamics.
She is also involved in facilitating workshops on breathwork, reflecting a broader interest in the role of respiration and its interaction with physiological systems. -
Nitish Ranjan Sarker
Postdoctoral Scholar, Civil and Environmental Engineering
BioNitish Ranjan Sarker is a Postdoctoral Scholar at Stanford University, where he contributes to the design, execution, and evaluation of an Industrial, Agricultural, and Water FlexHub Demonstration Pilot Project. His current research focuses on developing data-driven decision-support tools for sustainable water and energy systems, integrating experimental and pilot-scale data with technoeconomic analysis (TEA) to guide system design, deployment strategies, and policy recommendations.
Nitish earned his Ph.D. in Mechanical and Industrial Engineering from the University of Toronto, where his work combined laboratory-to-pilot experimentation, systems modeling, and field validation to advance resilient and affordable water technologies. Prior to that, he completed his M.Sc. in Mechanical Engineering at the University of Alberta and his B.Sc. in Mechanical Engineering at the Bangladesh University of Engineering and Technology (BUET). His research portfolio spans off-grid solar desalination, oil-water separation and spill response technologies, and distributed water quality monitoring tools for decentralized systems. Beyond research, Nitish has engaged in interdisciplinary training and global capacity-building initiatives in Canada, Mexico, Kenya, Bangladesh, India, and France, advancing the water‑energy‑health nexus and sustainable technology adoption from lab to field. He also co-founded FRODO, a venture translating foam-based oil-water separation research into deployable spill response and produced water treatment solutions, bridging lab innovation and early commercialization. -
Meghan Marjorie Shea
Postdoctoral Scholar, Civil and Environmental Engineering
BioMeghan is a postdoctoral scholar at Stanford University, where she studies how to best use environmental DNA (eDNA)—little bits of DNA left behind by organisms in their ecosystems—for marine biodiversity monitoring. Her interdisciplinary approach blends science & technology studies and ocean sciences, drawing on her dual training as a social scientist and engineer. Working from the archives to the laboratory to the field, she advances eDNA tools while interrogating their social context and epistemic implications. Prior to her postdoc, she received a PhD in the Emmett Interdisciplinary Program in Environment & Resources at Stanford, an MPhil in Nature, Society and Environmental Governance from Oxford as a Rhodes Scholar, and a BS in Environmental Systems Engineering from Stanford. When she's not thinking about environmental DNA, she loves cooking elaborate vegetarian meals, nurturing her house plants, and finding ways to spend as much time as possible on or near the ocean!
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Nicholas Siemons
Research Engineer, Precourt Institute for Energy
Postdoctoral Scholar, Materials Science and EngineeringBioNicholas began his academic career by studying integrated Masters at University College, London. During this time he published his first article, "Multiple exciton generation in nanostructures for advanced photovoltaic cells" - a review of how to produce photovoltaics with greater than 100% internal efficiencies. Following this Nicholas began research into solar voltaics and organic batteries in the group of Prof. Jenny Nelson at Imperial College, London. During this time Nicholas developed his keen interest in how to relate the chemical design of polymers to their ability to function as battery electrode materials. To achieve this goal, Nicholas applies atomistic simulation methods to such polymer systems, and relates the simulated findings to experimental results, bridging the gap between chemistry and device properties. As well as linking molecular chemical design to device performance, Nicholas applies novel simulation and analysis methodologies to study these systems, including Molecular Dynamics, Density Functional Theory, Molecular Metadynamics and Network Analysis.
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Richelle Smith
Postdoctoral Scholar, Electrical Engineering
BioRichelle L. Smith is a Postdoctoral Scholar at Stanford University with Professor Tom Lee. 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 -
Alexander Spangher
Postdoctoral Scholar, Computer Science
BioAlexander Spangher is a post-doctoral researcher advised by Daniel Ho, Sanmi Koyejo and Diyi Yang. His research focuses on modeling human decision-making in creative domains, especially in contexts where data is limited and rewards and goals are less clear. He is building out a new domain of learning, called emulation learning, with the goal of training the next generation of reasoning-oriented language models to be more proficient in these domains. His research has been used at technology organizations like OpenAI, Google and EleutherAI. He is especially passionate about helping journalists and has framed tasks and trained reasoning LLMs to help journalists find stories and sources, structure narratives and track information updates. These tools have been incorporated into newsrooms at the New York Times, Bloomberg and Stanford Big Local News, impacting thousands of journalists; and his work is also informing the next generation of journalistic education at USC Annenberg. His work has received numerous awards including two outstanding paper awards at EMNLP 2024, one spotlight award at ICML 2024, one outstanding paper award at NAACL 2022 and a best paper award at CJ2023; and he has been supported by a 4-year Bloomberg PhD Fellowship. His work is broad: in addition to his work in NLP and computational journalism, he has studied misinformation at Microsoft Research and collaborated with the MIT Plasma Science and Fusion Center to model plasma fusion processes.
