Stanford University
Showing 2,001-2,050 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.
