Stanford University
Showing 401-450 of 2,662 Results
-
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. -
Tyler Edward Cork
Postdoctoral Scholar, Radiological Sciences Laboratory
Current Research and Scholarly InterestsCurrently, I am involved in two main projects. The first is developing 3D printing techniques to improve the accuracy of ex vivo geometrical and microstructural cardiac modeling from in vivo cardiac MR acquisitions. The second is applying machine learning applications to MRI data as a way to improve overall image quality and reduce acquisition time.
-
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.
-
Lauren Cote
Basic Life Res Scientist
Postdoctoral Scholar, BiologyBioI'm a developmental biologist with a background in planarian regeneration who is studying epithelial cells in Jessica Feldman's lab as a Damon Runyon Fellow supported by the Damon Runyon Cancer Research Foundation. I'm interested in understanding better how different kinds of epithelial cells, like the cells that line your gut and the cells that make up your skin, are able to correctly connect to one another and form fully continuous organs.
-
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). -
Rafaela Da Silva Presa
Graduate Visiting Researcher Student, Mechanical Engineering
BioRafaela is a master in Bioengineering (Molecular Biotechnology branch) since 2019 by Faculty of Engineering of University of Porto, Portugal (FEUP)/ School of Medicine and Biomedical Sciences of University of Porto (ICBAS) with her MSc thesis done in the field of biomaterials for bone cancer treatment and regeneration simultaneously.
Rafaela is performing her PhD project in Biofabrication Group in the Institute for Innovation and Research in Health from University of Porto (i3s). The project is focused on the development of mechano-modulatory 3D in vitro model of human skin fibrosis. Currently, Rafaela is doing a period abroad at Chaudhuri Lab, Mechanical Engineering department at Stanford University, to study the impact of viscoelasticity in fibroblast fate and activation.
Moreover, she is enrolled in the International Doctoral Program in Cellular and Molecular Biotechnology Applied to Health Sciences (BiotechHealth) in ICBAS from University of Porto.
Her multidisciplinary background in bioengineering and biomaterials allowed her to develop strong skills in complementary research areas ranging from materials synthesis and biofabrication to cellular biology.
Rafaela has excellent communication skills and experience in presenting scientific data in national and international meetings. -
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.
-
Sujal Dave
Postdoctoral Scholar, Cardiology
BioSujal Dave, PhD, is a Postdoctoral Scholar in the Cardiovascular Biomechanics Computation Lab at Stanford University.
He recently completed his Ph.D. in Mechanical Engineering at the University of Calgary under the supervision of Dr. Artem Korobenko, where he developed consistent reduced order modeling frameworks for turbulent flows using variational multiscale methods and stabilized finite elements. His doctoral research advanced large-scale wind turbine wake simulations with applications to renewable energy and environmental flows. -
Onja Davidson Raoelison
Postdoctoral Scholar, Economics
BioOnja Davidson Raoelison is a Postdoctoral Fellow at the King Center on Global Development. Prior to joining Stanford, she earned her PhD in Environmental Engineering from the University of California, Los Angeles. She holds a joint MSc in Civil and Environmental Engineering from UCLA and in Civil Engineering from ESTP Paris, France.
Her overarching research focuses on the connection between wildfires, the environment, and human health, aiming to develop sustainable engineering solutions to mitigate the negative impacts of wildfires on water quality. Specifically, her research agenda at the Stanford Department of Medicine aims to understand how wildfires increase the risk of infectious diseases through their impacts on the environment -
Igor Daniel de Araujo Evangelista
Postdoctoral Scholar, Photon Science, SLAC
BioDr. Evangelista's primary research focus lies in computational modeling and theoretical analysis of semiconductor materials using advanced quantum mechanical methods, including Density Functional Theory, Quantum Monte Carlo, and ab-initio Molecular Dynamics. Evangelista investigates the electronic, structural, and mechanical properties of materials, collaborating closely with experimental groups to bridge theoretical predictions with empirical results. He is also interested in the development of empirical potentials and enhancing materials modeling through the application of machine learning techniques.
Evangelista entered the Department of Materials Science and Engineering at the University of Delaware as a Ph.D. candidate in 2018, after completing an master degree in Physics 2016-2018 at Federal Fluminense University (Brazil). Recent work includes collaborations with experimental groups to bridge theoretical predictions with empirical results, as well as applying machine learning to creating of empirical potentials to accelerate materials modeling. Evangelista has also contributed to understanding electron mobility in metal-oxide semiconductors and strain effects in two-dimensional materials. These studies showcase his expertise in electronic structure and materials design for next-generation semiconductor technologies.
