Stanford University
Showing 1,681-1,700 of 2,678 Results
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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.
