Stanford University
Showing 441-460 of 2,733 Results
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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.
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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.
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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. -
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. -
Mary de Boer
Postdoctoral Scholar, Infectious Diseases
BioI am a maternal and child nutrition researcher with expertise in nutritional epidemiology, implementation science, and environmental health. My work focuses on understanding heterogeneity in health outcomes among pregnant women in low- and middle-income countries — specifically, why evidence-based interventions fail to reach or benefit the most vulnerable subgroups. I use mixed methods combining traditional nutritional epidemiology with spatial analysis, multilevel and structural equation modeling, latent class analysis, and qualitative approaches to understand both biological and structural drivers of that heterogeneity. I come to academic research after 14 years as a field-based public health practitioner in Sub-Saharan Africa and Central Asia within the USAID Foreign Service.
