Stanford University
Showing 401-450 of 2,733 Results
-
Sheena Conforti
Postdoctoral Scholar, Civil and Environmental Engineering
Current Research and Scholarly InterestsMy research focuses on using wastewater to track infectious diseases and antimicrobial resistance across populations. I integrate environmental surveillance with clinical data to understand pathogen transmission dynamics and support public health decision-making within a One Health framework.
-
Caitlin Contag
Clinical Scholar, Medicine - Pulmonary, Allergy & Critical Care Medicine
Postdoctoral Scholar, Pulmonary and Critical Care MedicineCurrent Research and Scholarly InterestsEmerging pathogens, high-consequence pathogens, critical care in resource limited settings, early interventions for sepsis, marginalized patient populations, sexually transmitted diseases, planetary health
-
Suchetha Cooray
Postdoctoral Scholar, Physics
BioSuchetha Cooray is a KIPAC Postdoctoral Fellow at Stanford University. His research operates at the intersection of observational data, galaxy formation physics, cosmological theory, and artificial intelligence.
Suchetha is broadly interested in decoding the "cosmic ecosystems" that drive galaxy growth and evolution. His work seeks to reveal the complete lifecycle of galaxies—tracing their origins from density peaks of dark matter, through the complex interaction of their baryonic components, to their eventual cessation of star formation. Galaxy formation presents a profound computational challenge, as physical processes span at least 14 orders of magnitude, from the sub-parsec scales of black hole accretion disks to the vast web of cosmic large-scale structure.
To navigate this complexity, Suchetha employs numerical simulations and machine learning to build statistically robust models of the Universe, connecting the first galaxies revealed by JWST to the mature populations of the present day. As the field enters a transformative decade for precision cosmology, his research focuses on maximizing the scientific insights from upcoming major surveys—including PFS, Euclid, Rubin LSST, SPHEREx, and Roman.
Previously, Suchetha was a JSPS Postdoctoral Fellow at the National Astronomical Observatory of Japan and earned his doctorate at Nagoya University. -
Angela Corvino
Postdoctoral Scholar, General Surgery
Current Research and Scholarly InterestsPostdoctoral researcher pioneering the advancement of novel radiotherapy approaches (FLASH, SFRT) to tackle a critical challenge: minimising damage to healthy tissue surrounding difficult to treat tumors. I'm hands-on in all stages of preclinical experimentation, spanning from Monte Carlo simulations for planning and precise dosimetry, to conducting small animal irradiation, follow-ups, and insightful data analysis.
-
Ya'el Courtney
Postdoctoral Scholar, Immunology and Rheumatology
BioDr. Ya’el Courtney is a postdoctoral scholar in Immunology and Rheumatology in the Department of Medicine at Stanford University, working with Dr. William H. Robinson. Her research focuses on uncovering the mechanisms underlying post-acute sequelae following viral and bacterial infection. Dr. Courtney earned her PhD from Harvard University, where she investigated the role of the choroid plexus in brain development and its response to maternal psychedelic exposure. Beyond research, she is passionate about science communication and mentoring the next generation of scientists.
-
John Franklin Crenshaw
Postdoctoral Scholar, Physics
Current Research and Scholarly InterestsObservational Cosmology, Large Scale Structure, Galaxy Evolution, Machine Learning in Science, Survey Astronomy, Active Optics
-
Ying Cui
Postdoctoral Scholar, Biomedical Data Sciences
BioI am currently a postdoctoral scholar in the Department of Biomedical Data Science at Stanford Universiry. I received my Ph.D. in Biostatistics at Emory University. Prior to Emory, I received my B.S. in Statistics from Nankai University.
My research, located at the intersection of biomedical data science and statistics, is dedicated to enhancing the integration of statistical insights and data science innovations in biomedical research. I have a broad interest in developing innovative statistical methods and easy-to-use computational tools to understand complex associations using nonparametric and semiparametric methods, with recent work exploring their intersections with machine learning and causal inference to advance precision health. I have also been involved in various collaborative researches in multiple domains, including clinical trials and large language models (LLMs). -
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. -
Nicolo Danna
Postdoctoral Scholar, Applied Physics
BioSince his master’s and PhD at ETH, Nicolò D’Anna’s research has been dedicated to understanding and controlling quantum states of matter in low-dimensional solid-state systems. During his PhD he specialized in ultra-low-temperature magneto-transport to study dopant layers and structures in silicon for quantum computing. During his postdoc at UCSD, he focused on utilizing advanced coherent X-ray diffraction techniques to investigate metal-to-insulator transition switching in metal-oxides for neuromorphic applications. Currently, as an Urbanek-Chodorow postdoctoral fellow, he aims to achieve ultra-fast time-resolved optical interrogation and control of low-temperature quantum phases in synthetic stacked van-der-Waals systems, with a particular focus on magic-angle twisted bilayer graphene.
-
Shubham Das
Postdoctoral Scholar, Biology
BioI am a postdoctoral researcher at Stanford University investigating how cytoskeletal regulators drive developmental processes and cellular pathways. My research focuses on the dynamic organization of the actin cytoskeleton and its roles in cell mechanics, asymmetric cell division, and embryonic development. I am particularly fascinated by how dynamic actin networks shape life at both the cellular and organismal levels. By integrating cell and developmental biology with quantitative imaging, molecular biology, and biophysical approaches, I aim to uncover the mechanisms that govern cellular behavior during development and inspire future advances in developmental biology and regenerative medicine.
