Stanford University
Showing 1,651-1,700 of 2,676 Results
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Feng Pan
Postdoctoral Scholar, Materials Science and Engineering
BioFeng Pan is a postdoctoral scholar with Prof. Jennifer A. Dionne in the Department of Materials Science and Engineering at Stanford. He received his Ph.D. degree at the University of Wisconsin Madison, advised by Prof. Randall H. Goldsmith. His research expertise spans several aspects, including quantum optics, nanophotonics, metasurfaces, chiral metamaterials, plasmonics, and single-particle microscopy and spectroscopy. He is interested in harnessing photonics to address critical challenges in energy, quantum information science, and sustainability.
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Pritam Kumar Panda
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsDr. Panda’s current research at Stanford University School of Medicine centers on the innovative design of anesthetics optimized for battlefield application. His work integrates advanced methodologies such as AI-driven protein design, molecular dynamics simulations, and computational drug design to identify and model potential anesthetic compounds with precision and efficacy.
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Mahesh Pandit
Postdoctoral Scholar, Immunology and Rheumatology
BioI have completed my PhD in Immunology from Yeungnam University, South Korea. I studied adaptive immune cells especially focusing T cells and its relation to autoimmunity and tumor. I worked on different conditional knockout mice to investigate the cellular mechanisms. Similarly, I worked on disease induced mice to study its preventive and therapeutic approaches. Currently, I am working on Translational immunology as a Postdoctoral Researcher at Stanford University department of Immunology and Rheumatology. I focus on Epstein-Barr Virus, B cells and its relation with various autoimmune diseases.
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Lamprini Papargyri
Postdoctoral Scholar, Earth System Science
BioLamprini Papargyri is a postdoctoral scholar at Stanford University co-advised by Professor Steve Davis and Dr. Ken Caldeira. She earned her PhD in Civil and Environmental Engineering from the University of Cyprus, where she worked under the guidance of Professor Panos Papanastasiou to optimize the durability of materials used in photovoltaic systems. Her doctoral research employed advanced computational modeling using 3D finite element methods and XFEM to simulate stress, cracking, and degradation mechanisms in photovoltaic materials.
At Stanford, Lamprini’s research lies at the intersection of climate policy, economics, and equity. Her current work explores how economies with income inequality can optimally allocate resources between income redistribution and emissions abatement. Beyond research, she has led and contributed to multi-million-euro research initiatives across Europe and remains deeply interested in the societal and ethical dimensions of emerging technologies. Broadly, she is interested in developing integrated models that inform equitable and sustainable pathways for climate mitigation and economic development. -
Sara Pardej
Postdoctoral Scholar, Psychiatry
BioSara Pardej earned her BA in Psychology and BS in Cognitive Science at Marquette University. Afterwards, she attended the Clinical Psychology Doctoral Program at the University of Wisconsin-Milwaukee under the mentorship of Dr. Bonita P. Klein-Tasman, where she earned both her MS and PhD in Clinical Psychology. There, she worked on several studies focusing on youth with neurofibromatosis type 1 (NF1), including behavioral phenotyping work, psychometric studies, and a social skills intervention study. Her dissertation study, which was funded by a Young Investigator Award from the Children's Tumor Foundation, focused on examining event related potentials using EEG by comparing children with NF1 to children with idiopathic ADHD and unaffected children. She completed her Doctoral Internship in Clinical Psychology at Penn State Health in Hershey, Pennsylvania. While at Penn State, she also worked on research examining safety and psychopathology in youth with ADHD and/or autism. Her clinical interest is neuropsychology, and her research interests include issues of psychometrics, behavioral phenotyping, and the neuropsychological development (and subsequent areas of intervention) of individuals with NF1 across the lifespan.
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Anna Parenteau
Postdoctoral Scholar, Education
BioPostdoctoral Fellow at the Stanford Center on Early Childhood
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Junyoung Park
Postdoctoral Scholar, Neurology and Neurological Sciences
BioDr. Jun Young graduated from the Department of Biostatistics at the School of Public Health, Seoul National University, Korea. His major field of study is biostatistics, with a specific focus on the application of machine learning and statistical analysis to medical imaging and genetic data. During his doctoral studies, he concentrated on two primary research areas. Firstly, he dedicated himself to the development of deep learning models for medical images, primarily centered on T1-MRI and cognitive function test images related to Alzheimer's Disease. Secondly, he engaged in extensive genome-wide association analyses of medical images associated with Alzheimer's Disease, using statistical algorithms to uncover novel insights into the genetic factors contributing to this complex condition. Currently, as a postdoctoral fellow at the Greicius Lab at Stanford, he aims to develop statistical methods to discover novel structural variants and model polygenetic risk scores using long-read sequencing data.
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Namu Park
Postdoctoral Scholar, Biomedical Informatics
BioDr. Park is a Postdoctoral Scholar at the Division of Computational Medicine at Stanford University, where he is co-advised by Dr. Tina Hernandez-Boussard and Dr. Yair Bannet. He received his PhD in Biomedical and Health Informatics from the University of Washington.
His research focuses on clinical natural language processing and large language models for healthcare. He develops clinically grounded information extraction methods and evaluation frameworks that reflect real-world clinical workflows. His work examines how large language models can be aligned with clinical reasoning and rigorously evaluated for safe and effective deployment in health systems.
Through interdisciplinary collaboration, Dr. Park aims to bridge advances in foundation models with measurable clinical impact, emphasizing reliability, transparency, and scalability in AI-driven healthcare applications. -
Preethy Parthiban
Postdoctoral Scholar, Neonatal and Developmental Medicine
BioMy research centers on how the innate immune system shapes tissue remodeling in health and disease. During my PhD, I uncovered a key role for resident macrophages in driving cardiac fibrosis, identifying a macrophage-derived chemokine that directly activates cardiac fibroblasts. Building on this foundation, my postdoctoral work at Stanford focuses on neutrophil–macrophage crosstalk in disrupted alveolarization in neonatal mice and patients. By integrating cellular, molecular, and translational approaches, I aim to define how innate immune pathways orchestrate extracellular matrix remodeling. Ultimately, my goal is to identify critical therapeutic targets that improve outcomes in ECM-related diseases.
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Akshay Paruchuri
Postdoctoral Scholar, Psychiatry
BioI'm currently a postdoctoral scholar in the Stanford Translational AI (STAI) lab led by Professor Ehsan Adeli. I earned my PhD in computer science at UNC Chapel Hill under the advisement of Professor Henry Fuchs. My research interests are at the intersection of health AI, computer vision, and machine learning. Currently, I'm working toward a future where next-generation healthcare systems improve the entire patient journey, from advanced diagnostic imaging and surgical support to all-day health monitoring and management, to achieve better therapeutic outcomes for cancer and aging-related diseases. I'm generally interested in opportunities that would allow me to continue to deepen my research expertise while leading and working on projects with meaningful, positive real-world impact, especially with respect to areas such as healthcare and environmental sustainability.
Previously, I was a visiting researcher at IDSIA USI-SUPSI working with Professor Piotr Didyk on the interpretability of multimodal language models (MLMs) with respect to capabilities such as visual perception. I've published in leading venues on topics such as remote health sensing (WACV, NeurIPS), 3D reconstruction (ECCV, MICCAI), LLM-based conversational agents for personal health (EMNLP, Nature Communications), and energy-efficient operation of smart glasses (ISMAR). I've done internships at Google AR/VR, Google Consumer Health Research, and Kitware. -
Dr. Christopher T. Parzyck
Postdoctoral Scholar, Photon Science, SLAC
BioMy research interests lie at the intersection of materials science and condensed matter physics. I work on thin film synthesis of oxide and metal systems by molecular-beam epitaxy (MBE). Applications range from answering fundamental physics questions about high temperature superconductivity to developing practical synthesis routines and new materials for next generation electron sources. In addition, I work on projects involving spectroscopic probes of thin film systems, including angle-resolved photoemission spectroscopy (ARPES) and resonant soft x-ray scattering (RSXS) measurements.
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Magdalini Paschali
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsMy research focuses on utilizing machine learning models to enhance the understanding, diagnosis, and treatment of clinical disorders. I am interested in multi-modal learning, combining imaging data like MRI and CT scans with non-imaging data such as electronic health records, creating more holistic and accurate diagnostic models. I am also interested in the robustness of deep neural networks under domain shifts, investigating how models perform when faced with changes in input data distributions.
Finally, I am interested in early biomarker identification using AI model interpretability, to enable the early detection and targeted treatment of chronic disorders. -
Debarun Patra
Postdoctoral Scholar, Cardiovascular Institute
BioDebarun Patra is a postdoctoral researcher at Stanford Medicine, with a background in inflammation research. His research focuses on metabolic disease modeling and identifying novel therapeutic targets. His current work integrates inflammatory and metabolic diseases (IBD, MASH, and diabetes), using patient-derived iPS cells and primary cells, and employs advanced multi-omics.
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Suman Patra
Postdoctoral Scholar, Chemistry
BioDr. Suman Patra is a postdoctoral researcher in the Department of Chemistry at Stanford University, working under the mentorship of Prof. Edward I. Solomon. His research focuses on uncovering the mechanistic intricacies of non-coupled binuclear copper (NBC) enzymes, particularly tyramine β-monooxygenase (TBM), which catalyzes oxygen activation and selective C–H bond hydroxylation.His work integrates high-resolution spectroscopy, transient kinetics, and protein biochemistry to probe the formation, structure, and reactivity of short-lived copper-oxygen intermediates. As part of this effort, he performs cell culture and protein purification, enabling the isolation of active, recombinant copper enzymes for detailed spectroscopic and mechanistic studies. Through a multi-spectroscopic approach, primarily UV-Vis, CD, MCD, EXAFS, EPR, resonance Raman, and stopped-flow absorption spectroscopy, he investigates how the geometric and electronic structure of the active sites modulate reactivity and enable O₂ activation without direct Cu–Cu coupling.
Dr. Patra earned his Ph.D. in Chemistry from the Indian Association for the Cultivation of Science (IACS), Kolkata, under the supervision of Prof. Abhishek Dey, where he developed iron porphyrin-based electrocatalysts for the selective reduction of CO₂. His research emphasized mechanistic analysis using electrochemical methods coupled with in situ spectro-electrochemistry to monitor redox transitions and catalytic intermediates under applied potentials. These studies were complemented by density functional theory (DFT) calculations, which he used to model key intermediates, protonation pathways, and redox energetics, thereby providing molecular-level insight into how second-sphere interactions and ligand environments influence catalytic behaviour. His integrative experimental–computational approach provided a detailed understanding of structure-function relationships in multi-electron CO₂ reduction.
The mechanistic perspective and technical skillset developed during his doctoral work, particularly in combining spectroscopy, electrochemistry, and computation, now form the foundation of his postdoctoral research. His current studies extend those same principles to more complex metalloenzyme systems, addressing similar core questions about the role of electronic structure, metal-ligand coordination, and local environment in controlling reactivity. His long-term goal is to bridge synthetic and biological catalysis through a mechanistic lens, contributing to the development of efficient, selective systems for small-molecule activation and sustainable energy transformations.
Dr. Patra received his M.Sc. in Chemistry from the Indian Institute of Technology (IIT) Guwahati after qualifying the national IIT-JAM examination and completed his B.Sc. in Chemistry at St. Xavier’s College, Kolkata. Over the course of his academic training, he has cultivated a multidisciplinary research identity that spans coordination chemistry, spectroscopy, electrochemical catalysis, and theoretical modelling. His scientific vision centres on using spectroscopic and computational insight to guide the rational design of catalysts for environmentally relevant redox chemistry. -
Suraj Pavagada
Postdoctoral Scholar, Radiology
BioSuraj Pavagada is a postdoctoral scholar at the Department of Radiology at Stanford University. His research focuses on exploiting magnetic levitation and optoelectronic techniques for applications in medical diagnostics.
Suraj received his PhD in Oncology from the University of Cambridge (24’), where he developed a new bioelectronic cell enrichment platform utilizing altered glycosylation patterns for the early detection of esophageal cancer. With a background in electrochemistry, surface functionalization, liquid biopsy, and molecular diagnostics, he is passionate about developing portable sensor technologies that can be translated into the clinic to facilitate timely diagnosis and monitoring.
