Stanford University
Showing 1,701-1,750 of 2,728 Results
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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
AI4ALL Graduate Mentor, Stanford Pre-Collegiate StudiesBioI'm a postdoctoral scholar at Stanford University, advised by Professor Ehsan Adeli. I'm affiliated with the Stanford Translational AI (STAI) Lab and the Stanford Vision and Learning (SVL) Lab. I earned my PhD in computer science at UNC Chapel Hill under the advisement of Professor Henry Fuchs. I build and evaluate multimodal AI systems, from general-purpose methods for interactive computing to applications in healthcare. Currently, I'm working toward a future where multimodal AI can safely and reliably integrate into healthcare systems in order to improve the entire patient journey, from advanced diagnostic imaging and surgical support to all-day health monitoring and management, with the aim 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 that benefit people everywhere, whether through foundational research, real-world products, or shaping how these systems are evaluated and deployed.
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. -
Andrea Pedroza Tobias
Instructor, Pediatrics - General Pediatrics
BioDr. Andrea Pedroza is an instructor in the Department of Pediatrics in the Partnerships for Research in Child Health Lab. She earned a Ph.D. in Global Health from the University of California, San Francisco (UCSF) and a Master of Science in Nutrition from the National Institute of Public Health in Mexico (INSP). Her research focuses on generating evidence for interventions and policy recommendations aimed at improving the dietary quality of children to impact their health and development. Currently, she is employing a community-engaged approach to design nutrition interventions and policy recommendations that aim to reduce the consumption of ultra-processed foods among low-income children to narrow the gap in health disparities.
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Rui Pei
Postdoctoral Scholar, Psychology
BioRui (/ˈreɪ/) received her B.Sc. in Cognitive Neuroscience from Brown University, and her Ph.D. in Communication from the University of Pennsylvania. She is interested in understanding how adolescents and young adults make social decisions in the context of psychological and neural development. Her research focuses on social risk taking, or risk taking behaviors that bring social consequences. Some of the questions that her research tries to answer include: what motivates people to take social risks, and how does social risk taking contribute to adolescent health and well-being?
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Tara Peña
Postdoctoral Scholar, Electrical Engineering
BioTara Peña is a postdoctoral scholar at Stanford University, where she is working with Prof. Eric Pop and is supported by the NSF MPS-Ascend postdoctoral fellowship. Peña received her Ph.D. (2023) in Electrical and Computer Engineering (ECE) from the University of Rochester, where she won the university-wide Provost’s Fellowship then the nationwide NSF GRFP award. Before obtaining her doctorate, she earned a M.S. degree in ECE from the University of Rochester (2019) and a B.S. degree in Physics from Adelphi University (2017). Peña’s research interests include strain engineering nanomaterials to uncover advanced device structures.
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Deanna Pepin
Postdoctoral Scholar, Pathology
BioHey there! I was born in the small town of Selkirk, Manitoba, but lived most of my life in Edmonton, Alberta. I completed my Bachelor of Science at Kings University, focusing on biology and did undergrad research on Pink Pigmented Facultative Methylotrophs - bacteria that degrade petrochemicals. Following graduation, I became a Research Technician with Exciton Technologies Inc., a research and development company producing silver-based wound care products for treating infections. In 2016, I joined Dr. Benjamin Willing’s lab in Agriculture, Food, and Nutritional Sciences at the University of Alberta and completed a Master of Science focusing on how certain husbandry changes impact the development of the gastrointestinal microbiota, Salmonella infection resistance, and immune response in broiler production. In 2024, I completed my PhD in the department of Microbiology & Immunology at UBC, working with Dr. Carolina Tropini to understand the impact of osmotic stress on the gut microbiome.
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Deshan Perera
Postdoctoral Scholar, Biology
BioI am a Stanford Data Science Postdoctoral Scholar in the Department of Biology at Stanford University, supervised by Prof. Hunter Fraser. My research focuses on evolutionary dynamics and the development of high-performance computational tools to analyze complex biological systems. I earned my Ph.D. in Bioinformatics from the University of Calgary, Canada, where I investigated within-host evolution in pathogen genomics and cancer. Originally from Sri Lanka, I hold a First Class B.Sc. (Hons) in Biology from the University of Sri Jayewardenepura. I am passionate about advancing computational biology through the design and implementation of scalable software solutions that leverage GPU, CPU, and SSD architectures for large-scale genomic and evolutionary analysis.
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Javier Perez-Garcia
Postdoctoral Scholar, Epidemiology
BioJavier Perez-Garcia is a postdoctoral scholar in the Department of Epidemiology and Population Health at Stanford University. His research has been focused on the integration of multi-omic data (e.g., genomics, epigenomics, transcriptomics, and microbiome) to identify potential biomarkers of treatment response for complex diseases like asthma. His research background includes experience both in molecular biology techniques (e.g., DNA extraction and sequencing libraries preparation) and bioinformatic analyses (e.g., processing of raw omic data, association studies at genomic scale, or multi-omic integration through machine learning and quantitative trait loci analyses). He holds a Ph.D. in Health Sciences and a B.Sc. in Pharmacy from the University of La Laguna (Spain).
