Stanford University
Showing 1,901-2,000 of 2,662 Results
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Nitish Ranjan Sarker
Postdoctoral Scholar, Civil and Environmental Engineering
BioNitish Ranjan Sarker is a Postdoctoral Scholar at Stanford University, where he contributes to the design, execution, and evaluation of an Industrial, Agricultural, and Water FlexHub Demonstration Pilot Project. His current research focuses on developing data-driven decision-support tools for sustainable water and energy systems, integrating experimental and pilot-scale data with technoeconomic analysis (TEA) to guide system design, deployment strategies, and policy recommendations.
Nitish earned his Ph.D. in Mechanical and Industrial Engineering from the University of Toronto, where his work combined laboratory-to-pilot experimentation, systems modeling, and field validation to advance resilient and affordable water technologies. Prior to that, he completed his M.Sc. in Mechanical Engineering at the University of Alberta and his B.Sc. in Mechanical Engineering at the Bangladesh University of Engineering and Technology (BUET). His research portfolio spans off-grid solar desalination, oil-water separation and spill response technologies, and distributed water quality monitoring tools for decentralized systems. Beyond research, Nitish has engaged in interdisciplinary training and global capacity-building initiatives in Canada, Mexico, Kenya, Bangladesh, India, and France, advancing the water‑energy‑health nexus and sustainable technology adoption from lab to field. He also co-founded FRODO, a venture translating foam-based oil-water separation research into deployable spill response and produced water treatment solutions, bridging lab innovation and early commercialization. -
Jonas Paul Schoene
Postdoctoral Scholar, Sociology
BioJonas is a computational social psychologist and a postdoctoral fellow at the Polarization and Social Change Lab. He completed his PhD at the University of Oxford, under the supervision of Prof. Brian Parkinson and Prof. Amit Goldenberg of Harvard Business School. Jonas’s research focuses on how technology, such as social media and emerging large language models, can change individual and collective emotions for better or for worse. In one line of his work, he examines how these technologies influence the expression and sharing of emotions and their subsequent impact on political behavior. In another, he explores how these technological advancements can be utilized to enhance well-being. Beyond academia, Jonas is passionate about soccer and has been a goalkeeper since he was 8 years old. He tries to foster a community among students and locals through sports.
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Rachel Schuck
Postdoctoral Scholar, Psychiatry
Current Research and Scholarly InterestsMy research interests center on improving support services for autistic individuals—particularly by incorporating feedback from the autistic/autism community—and increasing access to high quality supports. I am also interested in assessing attitudes toward neurodiversity and promoting understanding of neurodiversity amongst the general population in the hopes of improving quality of life for neurodivergent people and their families.
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Narayan Schutz
Postdoctoral Scholar, Psychiatry
Current Research and Scholarly InterestsI work on using digital health technologies to detect and monitor aging relevant health indicators and outcomes using cutting-edge machine and deep learning approaches, with the goal to make our healthcare system more personalised and proactive.
Current research topics include remote gait and mobility assessments, learning health representations from large-scale smartphone data, and using novel ambient intelligence approaches to foster independent living in older adults. -
Will Schulz
Postdoctoral Scholar, Communication
BioWill Schulz received his PhD in 2024 from the Department of Politics at Princeton University, where his doctoral research sought to resolve two seemingly contradictory facts of American politics: (1) most people hold moderate or mixed political views, and yet (2) online political discourse is (apparently) polarized. Will's work includes both research and also the development of tools for data collection and analysis to facilitate that research. In his dissertation, Will developed an original method for characterizing individuals' political speech, and for estimating preference falsification and self-censorship, using a survey experiment exploiting contemporary political catchphrases. Most recently, he is focused on developing and implementing research projects with Argyle, which is a social media research tool adapted from the open-source Mastodon platform. Currently, Will is most interested in studying why certain individuals abstain from expressing their political views online, and the role of recommendation algorithms in contributing to differences in rates of online political expression.
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Mojtaba Sedigh Fazli
Postdoctoral Scholar, Immunology and Rheumatology
BioDr. Mojtaba Fazli is a leading scientist specializing in AI/ML, computer vision, and biomedical research. He is currently a Postdoctoral Research fellow Scientist at Stanford University and a Senior Research Fellow at the Harvard Ophthalmology Artificial Intelligence Lab, Harvard University, where he previously completed a postdoctoral fellowship.
Dr. Fazli's research bridges cutting-edge artificial intelligence with groundbreaking applications in multi-scale biomedical imaging, disease modeling, and drug discovery. His expertise encompasses advanced areas of AI/ML, including computer vision for 2D/3D medical image analysis, bioinformatics, and object tracking in both 2D and 3D environments. He has played a key role in developing state-of-the-art algorithms to enhance diagnostic precision and therapeutic outcomes within the biotechnology and healthcare sectors.
With a strong foundation in both academia and industry, Dr. Fazli previously served as a Senior Open Innovation Scholar at the Novartis Institute for Biomedical Research. There, he applied his expertise in strategic planning, programming, and simulation to tackle complex biomedical challenges.
Dr. Fazli holds a Ph.D. in Computer Science, with a minor in Mathematics, from the United States, as well as a Doctorate in Business Administration from France. His academic journey also includes master’s degrees in Economics and Management, as well as Artificial Intelligence and Robotics. His interdisciplinary approach blends AI-driven innovation with practical, impactful solutions in healthcare.
At Stanford, Dr. Fazli leads research initiatives focused on integrating multimodal data in rheumatology, advancing ultrasound imaging research in Rheumatoid Arthritis, and developing AI methodologies for clinical applications. His current work also involves leveraging Generative AI and Large Language Models (LLMs) to drive innovation in medical data analysis and clinical decision support. -
Yaffa Serur Schwarzman
Postdoctoral Scholar, Psychiatry
BioChildren and Adolescent Psychiatrist
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Zachary Aaron Sexton
Postdoctoral Scholar, Cardiology
BioFocused on understanding cardiovascular physiology, disease, and tissue engineering through stem cell biology and hemodynamics. Specializes in 3D extrusion bioprinting and computational fluid dynamics (though an open-source software platform SimVascular) to improve tissue engineering strategies for the successful development of cardiac tissues for disease modeling and therapeutic solutions.
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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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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. -
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. -
Xiwei She
Postdoctoral Scholar, Neurology and Neurological Sciences
BioDr. Xiwei She is a postdoctoral scholar in the Department of Neurology. He received his B.S. degree in Computer Science from Shanghai Jiao Tong University in 2013, and his M.S. degree in Biomedical Engineering from Zhejiang University in 2016. Worked as a research assistant at the USC Neural Modeling and Interface Laboratory, he received his Ph.D. degree in Biomedical Engineering from the University of Southern California in 2022. After graduation, he joined Stanford University as a postdoctoral scholar at the Pediatric Neurostimulation Laboratory (Baumer Lab) and Wu Tsai Neuroscience Institute.
His research interests are largely directed toward identifying the causal relationship of neurons/brain regions and understanding how information is encoded in neural signals by employing machine learning models. Specifically, his postdoc research focuses on applying machine learning modeling techniques on EEG and TMS-EEG data to better understand the impact of interictal epileptiform discharges (IEDs) on brain activity in children with childhood epilepsy with centrotemporal spikes (CECTS). -
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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Mahasish Shome
Postdoctoral Scholar, Genetics
BioDr. Mahasish Shome is interested in understanding the underlying mechanism of disease progression. He uses various omics profiling to identify biomarkers relevant to the disease. He studies antibodies, cytokines, proteins and microbiome profile to decipher the connection of disease with markers. 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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Nicholas Siemons
Research Engineer, Precourt Institute for Energy
Postdoctoral Scholar, Materials Science and EngineeringBioNicholas began his academic career by studying integrated Masters at University College, London. During this time he published his first article, "Multiple exciton generation in nanostructures for advanced photovoltaic cells" - a review of how to produce photovoltaics with greater than 100% internal efficiencies. Following this Nicholas began research into solar voltaics and organic batteries in the group of Prof. Jenny Nelson at Imperial College, London. During this time Nicholas developed his keen interest in how to relate the chemical design of polymers to their ability to function as battery electrode materials. To achieve this goal, Nicholas applies atomistic simulation methods to such polymer systems, and relates the simulated findings to experimental results, bridging the gap between chemistry and device properties. As well as linking molecular chemical design to device performance, Nicholas applies novel simulation and analysis methodologies to study these systems, including Molecular Dynamics, Density Functional Theory, Molecular Metadynamics and Network Analysis.
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Pilleriin Sikka
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsWhat makes certain experiences transformative, and how can we harness them to support resilience and mental health? I explore this question by studying emotions across various states of consciousness—waking, dreaming, anesthesia, psychedelics, and meditation. With a background in psychology, neuroscience, and anesthesiology, I bring together methods that are rarely combined: daily diaries and surveys, language and narrative analysis, neurophysiological recordings, lab experiments, and clinical trials. My work has three main aims: (1) to understand how affective experiences unfold across states; (2) to test whether these experiences can be deliberately shaped to support mental health; and (3) to identify the mechanisms that make them transformative. This interdisciplinary approach has led to the first controlled studies of anesthesia-induced dreams for trauma, new insights into peace of mind and emotion regulation, and cross-state comparisons showing how affective experiences in altered states can foster resilience. My long-term goal is to develop a new frontier in affective science: the study of how transformative experiences across different states of mind can improve well-being.
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Taianá Silva Pinheiro
Graduate Visiting Researcher Student, Education
BioTaianá Silva Pinheiro holds a degree in Mathematics and a Master’s in Mathematics Education. She is a Ph.D. candidate in Mathematics and Technological Education at the Federal University of Pernambuco (UFPE), Brazil, and a faculty member at the Federal University of Southern Bahia (UFSB). Her research interests include curriculum, Financial Education, and mathematics teacher education.
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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.