School of Humanities and Sciences
Showing 301-350 of 444 Results
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Valeria Ramirez Castaneda
Postdoctoral Scholar, Economics
BioValeria Ramírez Castañeda is a Postdoctoral Fellow at the King Center on Global Development. Her research explores the intersection of urbanization, sustainability, and disease ecology, with a focus on Amazonian cities. She studies how urban expansion interacts with environmental change and vector-borne disease dynamics, using participatory research approaches to co-develop solutions with local communities. In addition to her ecological research, she examines the dominance of English in science and its structural consequences, working to promote more inclusive and multilingual scientific practices. Ramírez-Castañeda received her PhD in evolutionary biology from the University of California, Berkeley.
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Rafael Rivera Lugo
Postdoctoral Scholar, Biology
BioRafael Rivera-Lugo is a Stanford Science Fellow postdoctoral associate in the Department of Biology and the ChEM-H Institute at Stanford University, where he works in the laboratory of Christine Jacobs-Wagner. His postdoctoral research focuses on how the Lyme disease bacterium Borrelia burgdorferi establishes infection using novel mouse models to dissect the immune and cellular mechanisms that drive tissue pathology during infection. He is also developing metabolically active, non-replicating bacterial platforms for vaccine applications.
Rafael completed his Ph.D. in Molecular and Cell Biology at the University of California, Berkeley, in the laboratory of Daniel A. Portnoy. His doctoral work revealed how the intracellular pathogen Listeria monocytogenes acquires and utilizes flavins (riboflavin derivatives) during infection, reshaping our understanding of bacterial metabolism and immune evasion. This work produced multiple high-impact publications in journals including PNAS, eLife, Nature, and mBio, and was recognized with the Harold M. Weintraub Graduate Student Award and the Nicholas Cozzarelli Prize. He received his B.S. in Biology and Biotechnology, Summa Cum Laude, from the University of Puerto Rico at Ponce.
Beyond research, Rafael is deeply committed to expanding access to scientific careers. He has mentored students from historically underserved communities through programs at Stanford and UC Berkeley, co-founded organizations to support peers navigating academic science, and has been a consistent advocate for creating welcoming and rigorous scientific environments for all students. -
Nicolas Roever
Graduate Visiting Researcher Student, Economics
BioI am a PhD-Student in Economics and experimental researcher. My current interest is studying (1) if we can use AI to deliver psychological interventions at scale and (2) how this changes mental health systems.
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Anders Rydstrom
Postdoctoral Scholar, Biology
BioAnders Rydstrom is a Postdoctoral Scholar with the Natural Capital Project and is investigating the links between exposure to nature areas and health. His research primarily focuses on conducting randomized controlled trials (RCTs) with uses of multimodal data sources such as accelerometers, ecological momentary assessments, behavioral outcomes and biometric health data. Anders received his Ph.D. in psychology and neuroscience from Karolinska Institute in Stockholm, Sweden, where he analyzed heterogeneity of treatment effects in lifestyle oriented RCT’s for prevention of Alzheimer’s Disease and cognitive impairment. He has also conducted research within cognitive training and emotion regulation. He holds an M.Sc. in psychology from Lund University, Lund, Sweden and has also clinical experience from working as a licensed healthcare psychologist in Scandinavia.
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Emily "Sal" Salamanca
Postdoctoral Scholar, Political Science
Current Research and Scholarly InterestsAncient political thought, Renaissance and early modern political thought, intellectual history, classical reception, history of democratic theory, aristocratic institutions, political aesthetics
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Lapo Santarlasci
Postdoctoral Scholar, Economics
BioI am a postdoctoral researcher at Stanford University’s Human-Centered Artificial Intelligence (HAI) institute, working on the AI Index team. With a background in Finance and FinTech, I hold a PhD in Systems Science from IMT Lucca. My doctoral research focused on harnessing artificial intelligence - particularly cutting-edge NLP methods - to build tools for climate-risk assessment and to explore how AI diffuses through and shapes society. Outside of my research, I am a sailor and a volunteer Red Cross ambulance operator.
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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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Aamir Sohail
Graduate Visiting Researcher Student, Psychology
BioI am a PhD student in Psychology based at the Centre for Human Brain Health (CHBH), University of Birmingham, and a Visiting Student Researcher at the Departments of Psychology and Sociology at Stanford University.
My research interests involve using experimental tasks and computational modeling to understand social decision-making in humans and AI. I am also more broadly interested in the impact of AI on society, and towards how science is conducted. -
Siamak Sorooshyari
Postdoctoral Scholar, Statistics
BioMy research lies at the intersection of AI/ML, statistics, biology, and engineering. I was initially trained as an electrical engineer, with a focus on signal processing and statistical algorithms. I then pursued my PhD in a neuroscience laboratory studying stress and the blood-brain barrier, where I gained experience with biological systems, experimental design, instrumentation, and data collection. My current work brings these perspectives together as I develop computational and statistical methods to better understand and predict biological processes.
A major focus of my research is understanding how aging affects the brain and how these changes are reflected across biological scales and measurement modalities. I have studied signals recorded from individual brain regions, communication between brain networks, and changes in functional connectivity across the lifespan. An important question in this work is whether quantitative properties of biological signals, such as monotonicity, exhibit consistent relationships with age. I am particularly interested in determining how different modalities capture changes associated with aging in both healthy and diseased systems, and what these measurements reveal about the underlying biological processes. This perspective can also provide insight into the reliability and interpretability of different recording modalities as measures of biological aging. I have recently begun extending these questions beyond the brain to the brain-gut-heart axis in healthy humans. By examining relationships and coordinated changes among measurements from multiple organs, I aim to develop a more integrated understanding of healthy aging and, ultimately, of how these relationships are altered in disease, specifically neurodegeneration. This work represents a broader effort to study aging as a multidimensional biological process rather than as a phenomenon confined to a single organ or measurement modality.
In parallel, I develop statistical methods for assessing the reliability and reproducibility of unsupervised learning results. In particular, I am interested in understanding how methodological choices - including the clustering algorithm, model parameters, and the number of clusters - can affect the conclusions drawn from noisy, high-dimensional datasets. This work has led to ERICA (evaluating replicability via iterative clustering assignments), a framework for evaluating whether clustering structure can be reproduced under repeated analyses without requiring a predefined ground truth. I am applying this framework to biological datasets, including cancer and neurodegenerative diseases, where clustering is frequently used to identify molecular or phenotypic subgroups. More broadly, this work seeks to develop rigorous statistical tools that can help distinguish reproducible structure from patterns that may depend strongly on methodological choices. -
Navin Sridhar
Postdoctoral Scholar, Physics
Current Research and Scholarly InterestsElectromagnetic and multi-messenger signals powered by plasma processes around compact objects.
