Stanford University
Showing 2,001-2,100 of 2,733 Results
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Sourya Sengupta
Postdoctoral Scholar, Urology
Current Research and Scholarly InterestsMultimodal medical AI, vision language models, model interpretability, computational imaging science
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Shailja
Postdoctoral Scholar, Radiological Sciences Laboratory
BioShailja is an engineer and computational scientist interested in the modeling of the human brain to study neurological diseases and guide neurosurgeries. As a Wu Tsai Neuroscience Institute’s postdoctoral fellow with Prof. Jennifer A. McNab and Prof. Josef Parvizi, she investigates tractography-based neurosurgical targeting. She is interested in mapping the whole brain structural connectivity network from diffusion MRI to functional connectivity in the human brain. Shailja received her PhD in Electrical and Computer Engineering from the University of California, Santa Barbara and BS from Electrical Engineering Department, Indian Institute of Technology, Kharagpur. Her doctoral research is on Reeb graphs for modeling white matter fibers in the human brain, which was awarded the Winifred and Louis Lancaster Best PhD Dissertation at UC Santa Barbara.
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He Shan
Postdoctoral Scholar, Energy Science and Engineering
BioHe Shan obtained a joint Ph.D. in Energy and Engineering Thermophysics from Shanghai Jiao Tong University and National University of Singapore. His research focuses on functional soft materials and thermal engineering design for water-energy systems. Working with his supervisor, Prof. Ruzhu Wang, he studies atmospheric water harvesting systems that extract clean water from arid air. His work includes developing a thermodynamic framework for hygroscopic materials and proposing new cyclic operating principles for water harvesting systems. These advances have been translated into a spin-off company and demonstrated in real arid climates. He received his M.S. from Chongqing University and was awarded the Shanghai Jiao Tong University Academic Star in 2023.
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Tong Shan
Postdoctoral Scholar, Psychiatry
BioTong completed her Ph.D. at the University of Rochester. She also holds an M.S. in Biostatistics from Northwestern University and a B.S. in Medical Imaging from Sichuan University.
In her research, Tong has explored topics such as subcortical and cortical neural responses to naturalistic speech and music, neural mechanisms underlying musical perception, and the impact of visual cues on speech-in-noise comprehension.
Currently, Tong is involved in the Speaker-Listener projects, where she investigates brain activities related to natural communication. She is excited to deepen her understanding of auditory processing of speech during communication and its implications for improving quality of life, particularly in clinical populations such as individuals with ASD, AD, etc.
Outside of her research, Tong is a music producer, creating original songs and soundtracks for video games. She has a passion for exploring the intersection of art and technology. -
Kat Adams Shannon
Basic Life Research Scientist, Pediatrics - General Pediatrics
BioKat studies how young children adapt their attention and learning behaviors to best match different early environments, with particular focus on understanding variability and strengths in contexts of early adversity. A key aim of her research is to create and collaborate on innovative uses of technology and statistical methods to support health, education, and developmental science.
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Saurabh Sharma
Postdoctoral Scholar, General and Vascular Surgery
Current Research and Scholarly InterestsWe develop strategies to transport immunotherapeutic molecules across the blood-brain barrier for imaging and treating brain metastatic cancer. Currently, under the mentorship of Dr. Amanda Kirane, I have continued my work in cancer-targeted nanotechnology for the treatment of melanoma brain metastases. Immunotherapy of small peptides, small molecules.
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Tanya Sharma
Postdoctoral Scholar, Pathology
BioTanya's interests span across studying G-Protein Coupled Receptors and the biochemistry of membrane proteins. During her doctoral studies, she worked as a visiting researcher at the National Research Council of Canada, Ottawa (Sussex laboratories) from 2019-2023 uncovering the role of an ancient mating receptor Ste3 in microbial pathogenesis and chemotropism. During her current position at Butcher lab, she is using High Performance Computing (HPC) platforms to guide her search for interesting ligand-receptor interactions. This involves using a combination of computation tools, cell based and analytical chemistry techniques for discovery and validation phase respectively.
Outside of science, she is an avid musician and a singer. -
Meghan Marjorie Shea
Postdoctoral Scholar, Civil and Environmental Engineering
BioMeghan is a postdoctoral scholar at Stanford University, where she studies how to best use environmental DNA (eDNA)—little bits of DNA left behind by organisms in their ecosystems—for marine biodiversity monitoring. Her interdisciplinary approach blends science & technology studies and ocean sciences, drawing on her dual training as a social scientist and engineer. Working from the archives to the laboratory to the field, she advances eDNA tools while interrogating their social context and epistemic implications. Prior to her postdoc, she received a PhD in the Emmett Interdisciplinary Program in Environment & Resources at Stanford, an MPhil in Nature, Society and Environmental Governance from Oxford as a Rhodes Scholar, and a BS in Environmental Systems Engineering from Stanford. When she's not thinking about environmental DNA, she loves cooking elaborate vegetarian meals, nurturing her house plants, and finding ways to spend as much time as possible on or near the ocean!
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Junming Seraphina Shi
Postdoctoral Scholar, Radiation Biology
BioI am a postdoctoral fellow at Stanford University, jointly mentored by Dr. Mohammad Shahrokh Esfahani and Dr. Md Tauhidul Islam. My research focuses on developing robust statistical machine learning methods for noninvasive, cost-effective cancer diagnostics, with applications in early detection, treatment monitoring, and precision oncology.
I received my Ph.D. from UC Berkeley, where my dissertation centered on advancing biostatistical machine learning approaches for complex biomedical challenges. My work addressed causal inference for continuous treatments, bias and measurement patterns in ICU electronic health records, and deep learning–based biclustering and prediction of cancer-drug responses. Across these projects, I developed interpretable and scalable tools for analyzing high-dimensional, multimodal clinical data.
At Stanford, I continue to build novel statistical learning frameworks tailored to real-world clinical needs—particularly through the analysis of liquid biopsy (cell-free DNA) and cancer imaging data. My current work aims to improve cancer detection and monitoring, with a focus on noninvasive, accessible, and clinically meaningful solutions to pressing challenges in oncology. I enjoy interdisciplinary collaborations and working across fields to drive innovation in biomedical research. Deeply committed to cancer research, I aim to bridge rigorous computational methodology with patient-centered impact by designing tools that are scalable, equitable, and translational. -
Palca Shibale
Postdoctoral Scholar, Plastic and Reconstructive Surgery
BioShibale, Palca is a post-doctoral fellow in the Hagey Laboratory under mentorship of Dr. Derrick Wan and Michael Longaker. She earned her BS in Molecular and Cellular Biology at the University of Washington (UW), her MS in Medical Physiology and Biophysics at Case Western University and her MD from UW. She has previously conducted translational research on drug efficacy and clinical research in trauma and vascular surgery. Her current works focus on understanding the mechanisms of tissue regeneration and fibrosis with nano materials and as well, the roles of fibroblast subpopulations in the foreign body response model
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Dongjae Shin
Postdoctoral Scholar, Photon Science, SLAC
BioMy current research focuses on the design of catalytic materials. I have studied atomistic phenomena on catalytic surfaces to develop materials with improved catalytic capability under the philosophy of rational design. To achieve this goal, I use computational approaches, e.g., first-principles calculations and artificial intelligence (AI). Applications include heterogeneous catalysis for exhaust emission control, hydrogen production, and utilization of emission gas to realize carbon neutralization.
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Siddu Shivanagoudra
Postdoctoral Scholar, Gastroenterology
BioSiddu Shivanagoudra is a postdoctoral scholar in the Spencer Lab investigating how gut microbiota-derived metabolites modulate intestinal immune signaling and barrier function. He holds an MS in Horticultural Sciences and a PhD in Biomedical Engineering from Texas A&M University. His work spans tryptophan metabolite biology, AHR/GPR35 signaling, and defined bacterial consortia, integrating cellular, transcriptomic, and metabolomic approaches. Siddu aims to translate these mechanistic insights into microbiome-targeted therapeutic strategies for inflammatory gut diseases.
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Mahasish Shome
Postdoctoral Scholar, Genetics
BioMy research interest revolves around understanding the underlying mechanism of disease progression. I utilize multi-omics profiling to identify biomarkers relevant to the disease. I study autoantibodies, metabolomics and proteomics to decipher the connection of disease with biomarkers. For studying these, I use protein microarrays and mass spectrometry. Connecting various omics provide a holistic overview of the disease profile and can help in early diagnosis, understanding disease state and drug/vaccine effectiveness.
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Benjamin Singer
Member, Maternal & Child Health Research Institute (MCHRI)
BioBen Singer is a postdoctoral scholar with interests in mathematical epidemiology and global public health. Ben's research career began with an internship at the Okinawa Institute of Science and Technology, where he applied quantitative skills he had learnt studying physics at the University of Oxford to the study of nematode locomotion. Ben further pursued quantitative methods in life sciences in the Interdisciplinary Bioscience Doctoral Training Partnership at the University of Oxford, earning a DPhil (PhD equivalent) in mathematical methods for evaluating pandemic risk and control. During these studies he maintained an interest in global public health policy, interning with the UK government's Department for International Development, where he developed models of international COVID-19 vaccine distribution. Ben is now working in Nathan Lo's research group at Stanford, creating infectious disease models informing public health policy for schistosomiasis, hepatitis E, and other infections.
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Gulshan Singh
Postdoctoral Scholar, Gastroenterology
Current Research and Scholarly InterestsMy current research interest is to understand the host-microbial pathways in intestinal inflammation. I am working to explore cellular heterogeneity at single immune cell level in systemic and local regions of the intestine that are associated with different Inflammatory bowel disease conditions.
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Shruti Singh Kakan
Postdoctoral Scholar, Ophthalmology
Current Research and Scholarly InterestsStudying the three-dimensional regulation of the genome in neuronal cell types in the healthy retina, and investigating dysfunctional genome regulation in a) inherited genetic diseases, b) aging, c) metabolic disease and d) cancer
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Alyson Singleton
Postdoctoral Scholar, Oceans
BioAly is a PhD student in the Emmett Interdisciplinary Program in Environment & Resources, investigating the impact of large-scale global change on infectious disease transmission and broader health dynamics. Based on the concepts of One Health and Planetary Health, she focuses on the design and evaluation of win-win solutions that can synergistically benefit human and environmental health. As we anticipate widening disease disparities under increasing climate and land-use change, her research aims to identify opportunities to prevent and mitigate these compounding harms. She approaches these topics by integrating novel computational methods, field-data collection, and epidemiologic techniques.
Prior to coming to Stanford, Aly was a Data Science Fellow at the Centers for Disease Control and Prevention where she developed analytic tools for outbreak detection and triage of multiple pathogens and supported the CDC’s Novel Coronavirus (COVID-19) Response. She also worked at the People, Place & Health Collective at the Brown University School of Public Health while earning her undergraduate (BS, Applied Mathematics) and master's degrees (MA, Biostatistics). -
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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Richelle Smith
Postdoctoral Scholar, Electrical Engineering
BioRichelle L. Smith is a Postdoctoral Scholar and Instructor at Stanford University in Electrical Engineering. 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 -
Selene Wang Sobek
Postdoctoral Scholar, Psychiatry
BioSelene’s research focuses on understanding how stress and early-life experiences shape the neural circuits involved in opioid addiction and relapse. Her previous work examined how stress-related changes in brain reward circuits can increase vulnerability to opioid seeking following abstinence. This work inspired a broader interest in how dopamine and opioid signaling interact to influence addictive behaviors. Her current research investigates how ibogaine affects the neural systems associated with opioid addiction and explores whether understanding its mechanisms could contribute to developing more effective treatments for opioid use disorder.
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Charmaine Soco
Postdoctoral Scholar, Stem Cell Transplantation
BioChair of SURPAS-COMPASS
Community, Opportunity, Mentorship & Professional Advancement for Stanford Scholars
https://surpas.stanford.edu/about/the-surpas-leadership-team/
https://orcid.org/0000-0002-3853-7052 -
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.
