Stanford University
Showing 2,001-2,100 of 2,662 Results
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Shruti Singh Kakan
Postdoctoral Scholar, Ophthalmology
BioI am a Biomedical Scientist with a Ph.D. in Translational Sciences. I worked with Non-Obese Diabetic (NOD) and NOD derived mice models of autoimmune Sjögren's Disease (SjD) for Biomarker Discovery and investigated disease mechanisms of autoimmune dacryoadenitis in the Lacrimal Glands. Using RNA Sequencing and autoantibody microarrays I validated microRNA biomarkers in human subjects.
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Chun Yin Siu
Postdoctoral Scholar, Psychiatry
BioChunyin Siu (Alex) is a postdoctoral scholar in the Brain Dynamics Lab, led by Prof. Mannish Saggar, at the Stanford University School of Medicine. He specializes in topological data analysis and its application in analyzing neuroimaging data.
He got his PhD degree in Applied Mathematics at Cornell University under the supervision of Prof. Gennady Samorodnitsky. Before that, he got this MPhil. degree in Mathematics at the Chinese University of Hong Kong under the supervision of Prof. Ronald (Lokming) Lui. -
Alexandre Six
Postdoctoral Scholar, Pathology
BioMy research is grounded in my curiosity about the living world and my desire to contribute to impactful, concrete discoveries. I began my journey in the world of biotechnology and microalgae during my studies at UTC in France, where I grew Volvox algae for tissue engineering purposes. Since then, I have been interested in studying and developing the potential of microalgae. During my PhD at CEA Cadarache, I investigated starch production in green microalgae for use in bioplastics. This work involved studying the induction, physiology and light requirements of starch accumulation, as well as developing a bioprocess for starch extraction, purification and plasticization. Working with Yonghua Li-Beisson, I have generated mutant strains of Ostreococcus tauri, one of the smallest known eukaryotes, to study the evolution of lipid metabolism in algae and plants. Here at Stanford, I am developing a genetic toolbox for non-model cyanobacteria in the Yeh lab.
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Genevieve Smith
Postdoctoral Scholar, Comparative Literature
BioI am a Postdoctoral Fellow at Stanford University in the Clayman Institute for Gender Research. I completed my doctoral degree at the University of Oxford, where I studied societal impacts of artificial intelligence in low- and middle-income countries, focusing on gender. As a social scientist with a disciplinary background of science and technology studies (STS) and devleopment studies, I examine the impacts of AI on inequality and society, as well as explore more equitable and responsible paradigms for AI technologies globally. I founded the Responsible AI Initiative at the Berkeley Artificial Intelligence Research Lab and teach on responsible AI. I am a research affiliate at the Minderoo Centre for Technology & Democracy at Cambridge University and at the Technology & Management Centre for Development at University of Oxford. Prior, I served as the Responsible AI Fellow at the United States Agency for International Development and as Interim Co-Director of the UC Berkeley AI Policy Hub.
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Lane D. Smith
Postdoctoral Scholar, Energy Science and Engineering
BioLane D. Smith is a postdoctoral scholar working with the Climate and Energy Policy Program at Stanford University. His research interests include energy policy, electricity rate design, energy affordability, and macro-energy systems (with a particular focus on the electric grid). Lane holds a Ph.D. and M.S. in Electrical Engineering from the University of Washington (2024 and 2019, respectively) and a B.S. in Electrical Engineering from the University of Denver (2018).
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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 -
Charmaine Fay Carcallas Soco
Postdoctoral Scholar, Stem Cell Transplantation
BioCommunity Engagement Liaison serving the Stanford University Postdoctoral Association (SURPAS)
Co-chair of JEDI-SURPAS
https://surpas.stanford.edu/about/the-surpas-leadership-team/ -
Suihong Song
Physical Science Research Scientist, Energy Science & Engineering
Postdoctoral Scholar, Energy Science and EngineeringBioSuihong Song collaborates with Professor Tapan Mukerji at the Stanford Center for Earth Resources Forecast (SCERF) as a postdoctoral scholar. His research is centered on integrating machine learning with geosciences, specifically focusing on machine learning-based reservoir characterization and geomodelling, Physics-informed Neural Networks (PINNs) and neural operators as well as their applications in porous flow simulations, neural networks-based surrogate and inversion, decision-making under uncertainty, and machine learning-based geological interpretation of well logs and seismic data. These research endeavors have practical applications in managing underground water resources, oil and gas exploration, geological storage of CO2, and the evaluation of hydrothermal and natural hydrogen, among others.Song proposed GANSim, an abbreviation for Generative Adversarial Networks-based reservoir simulation, which presents a reservoir geomodelling workflow. This innovative approach has been successfully implemented in various 3D field reservoirs by international oil companies, including ExxonMobil.
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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.
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Sean Paul Spencer, MD,PhD
Assistant Professor of Medicine (Gastroenterology and Hepatology)
BioSean Spencer, MD,PhD is a Gastroenterologist and Physician Scientist at Stanford University working to uncover the role of dietary intake on the gut microbiome and mucosal immune system. Sean obtained his medical degree University of Pennsylvania, earning his PhD studying nutritional immunology with Yasmine Belkaid,PhD at the National Institutes of Health (NIH), after which he moved to Boston for residency training at Massachusetts General Hospital and completed his Gastroenterology training at Stanford University. Sean’s career goal is to study mechanisms by which dietary intake influences our microbiome and immune system to better understand and treat gastrointestinal disease. Sean has launched a microbiome-focused clinical practice at Stanford where he is working to develop novel microbiome diagnostics and microbial medicines.
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Chelse Spinner, PhD, MPH
Postdoctoral Scholar, Neonatal and Developmental Medicine
BioAn Ohio native, Dr. Chelse Spinner obtained a Bachelor of Science in Biological Sciences (Biomedical Studies) with a minor in Health Education from the University of Cincinnati. She earned a Master of Public Health in Epidemiology and Maternal & Child Health (MCH) from the University of South Florida. She received a Doctor of Philosophy in Public Health Sciences with a concentration in Behavioral Sciences from the University of North Carolina at Charlotte. Dr. Spinner is certified in public health and has experience working across health systems. Her research interests include health disparities, women’s health, social determinants of health, domains of structural racism, and oral-systemic health within the MCH population. She employs quantitative and qualitative methods in the hopes of providing innovative and evidence-informed research to improve health outcomes for marginalized and underserved communities. Her research agenda intends to focus on the exploration of social and structural factors that impact health and well-being.
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Mikaela Spruill
Postdoctoral Scholar, Psychology
BioMikaela Spruill is a postdoctoral fellow with the SPARQ research collaborative in Stanford University's Department of Psychology.
An expert in psychology and law, the objective of her research is to examine how the law shapes individual psychologies, and how individuals produce judgments that define laws and policies. Leveraging quantitative and qualitative experimental methods, she tests how individually expressed factors and structurally imposed factors inform the judgments and decisions that people come to. Her research reveals how the racialized experiences that people have in stratified societies translates to decision making, and demonstrates how those decisions define and reinforce larger inequalities in society. -
Catherine Spurin
Postdoctoral Scholar, Energy Resources Engineering
BioI am a postdoctoral researcher in the Energy Science & Engineering department. My current research is focused on understanding how subsurface heterogeneity can be exploited to increase the amount of CO2 that is residually trapped. This increases storage security and minimizes the spread of the CO2 plume. This research makes up part of the GeoCquest consortium with Melbourne University, Cambridge University and CO2CRC. My supervisors are Prof. Hamdi Tchelepi and Prof. Sally Benson.
I obtained my PhD from Imperial College London in 2021. My PhD thesis "Intermittent flow pathways for multiphase flow in porous media: a pore-scale perspective" explored how flow phenomena not included in the framework of Darcy's law extended to multiphase flow influence the propagation and trapping of fluids. My supervisors were Prof. Sam Krevor and Prof. Martin Blunt. My research was funded by the President's PhD scholarship at Imperial. -
Griffin Srednick
Postdoctoral Scholar, Oceans
BioGriffin Srednick, PhD, is an NSF Postdoctoral Research Fellow at Stanford Oceans and a community ecologist specializing in the spatiotemporal dynamics of marine communities. His postdoctoral research investigates how coral reef communities recover from disturbance and respond to the effects of climate change. Conducted within the National Science Foundation's Moorea Coral Reef (MCR) Long Term Ecological Research (LTER) program, his work examines how spatiotemporal heterogeneity in coral communities can promote ecological resilience. By integrating oceanographic modeling with coral reef ecology, his research aims to reveal the mechanisms underpinning coral recovery following disturbance. His broader scientific interests focus on understanding the complex architecture of ecosystems and how a holistic view of ecological systems can inform and enhance conservation and restoration strategies.
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Navin Sridhar
Postdoctoral Scholar, Physics
Current Research and Scholarly InterestsElectromagnetic and multi-messenger signals powered by plasma processes around compact objects.
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Betsy Stade
Social Science Research Scholar
BioBetsy Stade, PhD, is a research scientist and associate director of the Stanford ALACRITY CREATE Center for Advancing Therapy with AI. As a computational clinical psychologist, Betsy focuses her research on how AI and large language models can be used for evidence-based psychological practice. Betsy did her graduate work at the University of Pennsylvania and her clinical residency at the VA Palo Alto Health Care System, and is a licensed psychologist in California. Her research has been supported by the National Science Foundation.
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Melissa Steele-Ogus
Postdoctoral Scholar, Pathology
BioMelissa Steele-Ogus grew up in Berkeley, California. She received a BS in Environmental Sciences and BA in Molecular Biology from the University of California, Berkeley, in 2012. She earned a PhD in Biology from the University of Washington in 2021, studying the actin cytoskeleton of Giardia lamblia. In her free time, she enjoys dancing, baking, and birdwatching. She may be secretly some sort of weird bug, but probably isn't.
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Rafael Stern
Postdoctoral Scholar, Earth System Science
BioRafael Stern was born and raised in Rio de Janeiro, Brazil. He is 35 years old, and married to Gal. Rafael has a BSc in Geography from the Geosciences Department of Universidade Federal Fluminense, in Niterói, Rio de Janeiro, Brazil. He has a MSc from the Climate and Environment Department of the National Institute of Amazon Research in Manaus, Amazonas, Brazil, with the supervision of prof. Paulo Artaxo, and he measured the physical and chemical properties of atmospheric particles during forest fires season in the Amazon rainforest. He has a PhD from the Earth and Planetary Sciences Department of the Weizmann Institute of Science in Rehovot, Israel, with the supervision of prof. Dan Yakir, and he used a mobile eddy covariance station to compare the biogeophysical and biogeochemical effects of different ecosystems and of PV fields on drylands.
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Ashley Styczynski
Adjunct Clinical Assistant Professor, Medicine - Infectious Diseases
BioAshley Styczynski, MD, MPH, is an Adjunct Clinical Assistant Professor in the Division of Infectious Diseases & Geographic Medicine and Global Health Faculty Fellow, and a Medical Officer in the International Infection and Control Branch at the Centers for Disease Control and Prevention (CDC). Dr. Styczynski's research interests are in infectious disease epidemiology, global health, emerging infections, and antimicrobial resistance. She holds an MPH from Johns Hopkins Bloomberg School of Public Health and an MD from University of Illinois at Chicago. Prior to coming to Stanford for her infectious disease fellowship, she spent two years as an Epidemic Intelligence Service (EIS) Officer at the CDC. During her time as an EIS officer, Dr. Styczynski conducted outbreak investigations on Zika virus, vaccinia virus, and rabies. She is currently conducting research on antimicrobial resistance and interventions to reduce nosocomial infections within low-resource healthcare facilities globally.
List of publications: https://www.ncbi.nlm.nih.gov/myncbi/ashley.styczynski.1/bibliography/public/ -
Shih-Po Su
Postdoctoral Scholar, Ophthalmology
BioDr. Shih-Po Su is a Postdoctoral Research Fellow in the Department of Ophthalmology at Stanford University. He earned his Ph.D. in Biomedical Engineering from National Yang Ming Chiao Tung University (NYCU), Taiwan, in 2024. His doctoral research focused on the development of advanced optical imaging systems, including a three-dimensional near-infrared fluorescence and photoacoustic vascular imaging platform for preclinical applications.
Dr. Su has over a decade of experience in biomedical imaging, integrating optical system design, image analysis, and in vivo disease modeling. His research interests center on the interface of optical engineering and translational medicine, particularly in retinal ganglion cell (RGC) imaging and neuroprotective strategies for glaucoma. At Stanford, he is extending his expertise to short-wave infrared (SWIR/NIR-II) imaging and in vivo retinal functional imaging to establish sensitive biomarkers for neurodegeneration.
His recent work has advanced optical imaging and NIR-II contrast agents, including the co-development of polymer-dot probes for three-dimensional tumor and bone imaging (Chemical Science, 2022; Advanced Healthcare Materials, 2021) and an ultrabright polymer-dot platform for rotational stereo imaging (Advanced Healthcare Materials, 2024). He also designed integrated small-animal imaging systems combining bioluminescence tomography and ultrasound, as well as rotational stereo NIR-II fluorescence imaging (Optics Express, 2024; Journal of Biomedical Optics, 2023; Biosensors, 2022).
Dr. Su has received multiple international recognitions, including the Taiwan Science and Technology Hub@Stanford Postdoctoral Fellowship (2024), First Prize in the NYCU Annual Thesis Competition (2023), the Future Tech Award (MOST, 2022), and the MOST Pilot Scholarship Program (2019). His long-term goal is to develop regenerative medicine–based imaging and therapeutic platforms to address unmet clinical needs in neurodegenerative diseases and vision restoration. -
Barathi Subramanian
Postdoctoral Scholar, Pathology
BioMy research lies at the intersection of computer vision and deep learning, focusing on the development of intelligent systems to advance large-scale image analytics in computational pathology, emphasizing histopathology-based survival analysis, whole slide image classification, and multi-modal representation learning. Through this research, I aim to bridge perceptual understanding and medical reasoning, enabling models to achieve high predictive accuracy and offer clinically interpretable insights for precision medicine.
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Sriram Sudarsanam
Postdoctoral Scholar, Neurosurgery
BioSriram is broadly interested in how cellular interactions shape neurodevelopment. He completed his undergraduate studies at the Indian Institute of Science, and Masters at the Weizmann Institute. His doctoral research in Alex Kolodkin’s laboratory at Johns Hopkins addressed the development of idiosyncratic axonal arborization patterns of cortical neurons. He developed genetic strategies to visualize and perturb sparse populations of neurons in the mouse brain, using which he identified novel molecular and cellular determinants of spatially-restricted axon branching in vivo.
Now, as a postdoctoral scholar in Brad Zuchero's laboratory, Sriram is working to develop novel genetic tools to observe and perturb neuron-oligodendrocyte interactions in vivo. In collaboration with Ivan Soltesz’s laboratory, he aims to employ these tools to understand how myelination regulates neural circuit assembly and function. -
Takeshi Sugio
Postdoctoral Scholar, Oncology
BioI am a physician-scientist and hematologist focused on clinical translation of T-cell biology. I received my MD from Kyushu University, and subsequently completed Residency Training at Toranomon Hospital, the largest transplant center in Japan. I continued my Hematology training at Kyushu University, where I qualified as a Board-certified specialist (2017) and supervisory hematologist (2021) by the Japanese Society of Hematology. For my PhD (2014-19), I studied expression profiles and histologic features of TCLs. I discovered distinct TCL clinical groups identified by infiltrating immune cell patterns in the microenvironment. Based on my dissertation work (Sugio, et al 2018 Blood Advances), I planned and conducted a Phase II trial of PD1 inhibition for relapsed/refractory TCL (UMIN000034499). I joined the Alizadeh lab at Stanford in 2021, where I am developing tools to analyze immune status using liquid biopsies.
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Ayesha Sujan
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioAyesha C. Sujan, PhD, is a licensed clinical psychologist with specialized clinical training in pediatric pain psychology and extensive research experience in pharmacoepidemiology, particularly in using large administrative datasets to study central nervous system medication and substance use during pregnancy. She is currently a postdoctoral fellow under the primary mentorship of Dr. Jennifer Rabbitts, Chief of Pediatric Pain, in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University School of Medicine, and is supported by an NIH T32 training grant (T32GM089626) focused on developing leaders in academic anesthesiology and pain medicine research. In addition to contributing to Dr. Rabbitts’ NIH-funded research on mechanisms and treatment of pain in youth undergoing surgery, she leads independent studies on pediatric chronic abdominal pain and disorders of gut–brain interaction, with a growing focus on central nervous system medication treatment for these conditions. Clinically, she conducts psychosocial assessments and provides evidence-based pain psychology treatment one day per week (20% FTE) in the outpatient pediatric pain management clinic at Stanford University School of Medicine, ensuring strong clinical grounding and translational relevance of her research program.
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Chenxi Sun
Postdoctoral Scholar, Neurology and Neurological Sciences
Current Research and Scholarly InterestsArtificial intelligence for time-series data; clinical EEG foundation models; machine learning for neurophysiology
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Han Sun
Postdoctoral Scholar, Genetics
Biostatistician 2, Pediatrics - EndocrinologyBioHan had been a postdoc with Dr. Steinmetz at the genetics department for five years, working on both cancers and heart diseases, trying to understand the mechanisms linking from variants to disease phenotypes. This led to a few very interesting findings of aberrant splicing regulation, such as splicing-mediated readthrough stabilization (SRS), one more mechanism for oncogene activation in multiple types of cancers, and tissue-specific splicing of a mitochondrial inner membrane protein, suggesting a molecular connection between deficiency in energy-supplying and dilated cardiomyopathy.
After being a senior computational biologist with Dr. Gloyn, who has been dedicated to the research of type 2 diabetes for decades, Han switched to the field of this multifactorial metabolic disease. It did take some courage to make such a switch at his post-postdoc stage, however, Han has a consistent interest in studying PG&E, which is not pacific gas and electric nearby, but the interaction between phenotype, genotype, and environment. With years of hands-on experience in statistical modeling and the analysis of next-generation sequencing and mass spectrometry data, in addition to a good understanding of disease genetics, cancer biology, and systems biology, Han is highly confident that he will enjoy the adventure and contribute to our understanding of diabetes. -
Liyan Sun
Postdoctoral Scholar, Radiological Sciences Laboratory
Current Research and Scholarly InterestsPhysics-driven deep learning algorithms for MRI/CT reconstruction and analysis:
(1) MRI acceleration with partial measurements.
(2) Medical image segmentation under limited data resources.
(3) Unsupervised/supervised medical image synthesis for MRI or CT.
(4) Longitudinal medical data analysis with deep learning models.
(5) PET image reconstruction and analysis. -
Wenfei Sun
Assistant Professor of Medicine (Endocrinology)
Current Research and Scholarly InterestsWe explore neural circuits regulating memory and systemic metabolism, integrating neuroscience and metabolic biology to tackle cognitive decline and metabolic disorders.
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Yudong Sun
Postdoctoral Scholar, Geophysics
BioYudong's study areas are earthquake physics, numerical modeling, InSAR, glaciology, and geodynamics. He specializes in numerical simulations of earthquake cycles and dynamic ruptures, integrating models with observations and laboratory experiments. He has published papers covering topics including back-propagating ruptures, slow slip events, fault roughness, deformation of glaciers, and lithospheres.
