Stanford University
Showing 6,301-6,350 of 34,405 Results
-
Mark Cutkosky
Fletcher Jones Professor in the School of Engineering
BioCutkosky applies analyses, simulations, and experiments to the design and control of robotic hands, tactile sensors, and devices for human/computer interaction. In manufacturing, his work focuses on design tools for rapid prototyping.
-
Meg Cychosz
Assistant Professor of Linguistics
BioDr. Cychosz investigates how infants and children develop speech and language, including children who are d/Deaf or hard-of-hearing and multilingual learners. Her research bridges linguistics, cognitive science, developmental psychology, and electrical engineering to understand fundamental questions about language acquisition. Her interdisciplinary approach combines fieldwork with computational methods, using deep learning and automatic speech recognition tools to analyze naturalistic speech recordings from children's daily lives. She is particularly interested in how children's processing limitations might influence the structure of the world's languages, how sensory experiences like hearing loss affect language processing in early childhood, and how technological innovations can make language research more accessible and representative. Dr. Cychosz directs the Speech and Cognitive Development Lab and collaborates with clinical partners in audiology and speech-language pathology to ensure her research has translational impact to support children's language development.
-
Martha S. Cyert
Dr. Nancy Chang Professor
Current Research and Scholarly InterestsThe Cyert lab is identifying signaling networks for calcineurin, the conserved Ca2+/calmodulin-dependent phosphatase, and target of immunosuppressants FK506 and cyclosporin A, in yeast and mammals. Cell biological investigations of target dephosphorylation reveal calcineurin’s many physiological functions. Roles for short linear peptide motifs, or SLiMs, in substrate recognition, network evolution, and regulation of calcineurin activity are being studied.
-
Nicholas A Czapla
Assoc Sci - Laser Sci, LCLS - Linac Coherent Light Source
Current Role at StanfordMatter in Extreme Conditions, Laser Scientist, Linac Coherent Light Source
-
Agnieszka Czechowicz, MD, PhD
Assistant Professor of Pediatrics (Stem Cell Transplantation)
Current Research and Scholarly InterestsDr. Czechowicz’s research is aimed at understanding how hematopoietic stem cells interact with their microenvironment in order to subsequently modulate these interactions to improve bone marrow transplantation and unlock biological secrets that further enable regenerative medicine broadly. This work can be applied across a variety of disease states ranging from rare genetic diseases, autoimmune diseases, solid organ transplantation, microbiome-augmentation and cancer.
-
Simone D'Amico
Associate Professor of Aeronautics and Astronautics
On Leave from 2026-10-01 To 2026-12-31BioSimone D’Amico is Associate Professor of Aeronautics and Astronautics (AA), W.M. Keck Faculty Scholar in the School of Engineering, Associate Professor of Geophysics (by Courtesy), Science Fellow at the Hoover Institution and Chief Science Officer at EraDrive Inc. He is the Founding Director of the Stanford Space Rendezvous Laboratory, Founding Co-Director of the Center for AEroSpace Autonomy Research (CAESAR), and Director of the Undergraduate Program in Aerospace Engineering at Stanford. He has 23+ years of experience in research and development of autonomous spacecraft and distributed space systems. He developed and deployed the distributed Guidance, Navigation, and Control (GNC) system of several formation-flying, rendezvous and proximity operations missions such as GRACE (NASA/DLR), PRISMA (OHB/DLR/CNES/DTU), TanDEM-X (DLR), BIROS (DLR) and PROBA-3 (ESA). Currently, he is the institutional PI of four autonomous satellite swarms funded by NASA (STARLING, STARI) and by NSF (VISORS, SWARM-EX). Dr. D'Amico is Fellow of AAS, Associate Fellow of AIAA, Associate Editor of the AIAA's JGCD and he is in the Advisory Board of four space start-ups focusing on distributed space systems for future applications in SAR remote sensing, orbital lifetime prolongation, and space-based solar power. He was the recipient of several awards, most recently the 2024 NASA Ames Honor Award for the Starling mission, Best Paper Awards at IAF (2022), IEEE (2021), AIAA (2021), AAS (2019) conferences, the M. Barry Carlton Award by IEEE (2020), the Leonardo 500 Award by the Leonardo da Vinci Society/ISSNAF (2019), FAI/NAA’s Group Diploma of Honor (2018), DLR’s Sabbatical/Forschungssemester (2012) and Wissenschaft Preis (2006), and NASA’s Group Achievement Award for the GRACE mission (2004). He received the B.S. and M.S. degrees from Politecnico di Milano (2003) and the Ph.D. degree from Delft University of Technology (2010).
-
Hannah Katherine D'Apice
COLLEGE Lecturer, Civic, Liberal, and Global Education
BioDr. Hannah K. D'Apice is a Lecturer in the COLLEGE (Civic, Liberal, and Global Education) Program. She received her doctorate from Stanford University in International/Comparative Education and the Sociology of Education. Her research agenda examines the historical and transnational sociology of organizational structures, policies, and leadership in education, especially as they relate to issues of race/ethnicity and gender/sexuality.
Prior to graduate school, Dr. D'Apice was a research manager for randomized controlled trial evaluations of education interventions. She also taught professionally for four years in Texas and Singapore.
In addition to her PhD, Dr. D'Apice has a Master's in Sociology and Master's in International Education Policy Analysis, both from Stanford, as well as a Bachelor's in Political Science from Columbia University. -
Marta D'Elia
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioI’m a research/computational scientist working on the design and analysis of models and data-driven algorithms for the simulation of complex, multiscale and multiphysics problems. My background and training have foundations in Numerical Analysis, Scientific Computing, Inverse Problems, Control and Optimization, and Uncertainty Quantification. In the past five years I have focused on Scientific Machine Learning (SciML) and Deep Learning. I am an expert in Nonlocal/Fractional Modeling and Simulation (10 years) with application to Continuum Mechanics, Subsurface Transport, Image Processing, and Turbulence. I have a master's degree in Mathematical Engineering from Politecnico di Milano (2007) and a PhD in Applied Mathematics from Emory University (2011).
-
Genevieve D'Souza
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
BioGenevieve D’souza MD, FASA is a Clinical Professor in the Pediatric Anesthesia division of the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University. She is a Board-certified Pediatric Anesthesiologist , Fellowship trained Pediatric Pain Doctor, and trained in Medical Acupuncture.
She is a practicing Chronic Pediatric Pain Doctor at Stanford Medicine Children's Health and is also part of the Acute Pain Service. She is the Clinical Director of the Pediatric Pain Division. She is also the Director of the Pediatric Anesthesia Resource Center at Lucile Packard Children’s Hospital.
She is also the Senior Editor for the Visual Pearl Series For the Society of Pediatric Pain Medicine and on the Board of Directors for Society of Pediatric Pain Medicine. -
Peter D'Souza
Clinical Associate Professor, Emergency Medicine
BioDr. D'Souza's clinical practice is in Emergency Medicine at Stanford Hospital. He has a strong interest in Emergency Medical Services and pre-hospital care. He currently serves as medical advisor for the Palo Alto Fire Department, Mountain View Fire Department, and Santa Clara Fire Department. He serves as the Department Liaison to the Trauma Service. He previously served as Medical Director for Stanford Life Flight and course director for the Stanford EMT Training Program. His research interests include treatment of neurological emergencies and variability in trauma care.
-
Sophie D'Souza
Ph.D. Student in Education, admitted Autumn 2023
BioSophie D'Souza is a PhD student in Developmental and Psychological Sciences with a cross-area specialisation in Race, Inequality, and Language in Education.
-
Ronaldo Francisco Jr
Affiliate, Pathology Clinical Faculty PTAs
BioI am a geneticist focused on the application of computational and statistical methods to study genetic mechanisms of disease. My research interests include (i) genomic and precision medicine; (ii) detection and analysis of genetic variants using NGS data (WGS, WES, RNA-Seq); and (iii) transcriptome and allele-specific expression.
-
Justine Dachille
Understand Energy Program Manager, Precourt Institute for Energy
Current Role at StanfordUnderstand Energy, Program Manager
-
Maricris Dacumos, RN, FNP-BC, AOCNP-BC
Affiliate, IT Services
BioMaricris B. Dacumos, MSN, RN, FNP-BC, AOCNP is a nurse practitioner with the Blood and Marrow Transplant Program at Stanford Health Care. She graduated with her Family Nurse (FNP) degree from the Johns Hopkins University School of Nursing. She is also a certified adult oncology nurse practitioner.
-
Meysam Dadgar
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioMeysam Dadgar is a Postdoctoral Research Fellow at the Molecular Imaging Program at Stanford University, School of Medicine. He obtained his Ph.D. in Biophysics from Jagiellonian University in Kraków, Poland, as part of the J-PET collaboration, and previously held a Postdoctoral Fellowship at Ghent University, Belgium.
Dr. Dadgar’s research focuses on the development and optimization of next-generation positron emission tomography (PET) systems for cancer detection and precision medicine. His expertise spans PET instrumentation, Monte Carlo and GATE simulations, advanced image reconstruction, and AI-based image enhancement. He has made significant contributions to the design and evaluation of novel PET geometries, including dual-panel and total-body PET, as well as positronium imaging approaches that extend beyond conventional PET capabilities.
In addition to his PET-focused research, Dr. Dadgar gained unique experience at CERN, where he worked on advanced detector development, including trigger electronics, PET coincidence measurements, and composite material production under controlled conditions. These experiences provided him with a strong foundation in detector design, fabrication, and calibration that complements his biomedical imaging research.
He has authored more than 20 peer-reviewed publications, including papers in Science Advances, Nature Communications, IEEE Transactions on Radiation and Plasma Medical Sciences, and EJNMMI Physics. He has been recognized with multiple international fellowships and awards, including IEEE NSS/MIC Trainee Grants and national research grants in Europe.
At Stanford, Dr. Dadgar’s work integrates state-of-the-art medical imaging technologies, particle physics methods, and AI-driven modeling to improve sensitivity, resolution, and diagnostic accuracy in PET, with the ultimate goal of advancing early cancer detection and patient care.
