Stanford University
Showing 1,761-1,780 of 2,733 Results
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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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Richard Perez, MD
Clinical Scholar, Anesthesiology, Perioperative and Pain Medicine
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain MedicineBioDr. Richard Perez is a board-certified, fellowship-trained pain management specialist with Stanford Health Care. He is also a clinical scholar in the Department of Anesthesiology, Perioperative & Pain Medicine, Division of Pain Medicine at Stanford University School of Medicine.
Dr. Perez cares for people living with complex chronic pain, nerve-related pain, and musculoskeletal pain conditions. He specializes in nonsurgical therapies, such as nerve blocks, to relieve pain. He takes a highly personalized and compassionate approach to pain medicine, informed by a deep understanding of the biology of pain.
As an active physician-researcher, Dr. Perez studies how changes in cells contribute to chronic pain and immune-related disease. He uses advanced genetic technologies to analyze patterns across individual immune and nervous system cells. His work aims to understand what causes chronic pain, supporting the development of more targeted and effective therapies.
Dr. Perez has published his findings in leading peer-reviewed journals, including Science, Science Translational Medicine, Nature Communications, and British Journal of Anaesthesia. He has also presented to peers at meetings of the American Academy of Pain Medicine, American Society of Anesthesiologists, and International Anesthesia Research Society.
Dr. Perez is a member of the American Society of Anesthesiologists and the International Anesthesia Research Society. -
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).
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Amalia Perna
Postdoctoral Scholar, Pathology
BioDr. Perna received her education at the University of Urbino (BSc in Biological Science) and at the University of Trieste (MSc in Functional Genomics).
She obtained her Ph.D. in Neuroscience/Medical Sciences in 2021, from the University of Fribourg (Switzerland) in collaboration with the Swiss Integrative Center for Human Health (SICHH). During her doctoral studies, she investigated the molecular players involved in the neurodegenerative process, with special attention to Notch signaling modulation in the neuronal demise after kainic acid (KA)-induced excitotoxicity
With funding from the Swiss National Science Foundation (SNSF), Dr. Perna joined Prof. Thomas Montine's lab at Stanford University and extended her doctoral research work to single-cell technologies such as single-nucleus RNA-seq. In February 2022 she was appointed as a postdoctoral fellow in Montine Lab.
Dr. Perna’s research aims to elucidate the modulation of signaling pathways in the different cell types of the brain after the perturbation of its homeostasis. She is also interested in understanding the molecular mechanisms underlying neuronal regeneration/recovery after damage and in neurodegenerative diseases. -
Alina Pfrang
Postdoctoral Scholar, Business
BioAlina Pfrang is a Postdoctoral Scholar at the Stanford Graduate School of Business and the Stanford Initiative for Business, Taxation, and Society. Alina’s work focuses on how firms react to different types of taxes. She previously worked as a visiting professor at the University of Iowa. She received her PhD from the University of Mannheim in Germany.
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Ashley Phoenix
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Ashley Phoenix earned her B.S. in Biological Sciences from the College of Charleston, where her passion for neuroscience first took root through undergraduate research on drug seeking behavior at the Medical University of South Carolina. She went on to complete an M.S. in Biomedical Sciences at the University of Alabama at Birmingham, strengthening her scientific foundation before earning her M.D. at Wake Forest University School of Medicine.
Her research career has spanned diverse yet interconnected realms of neuroscience — from investigating post-stroke cognitive decline at MUSC, to exploring the neurodevelopmental basis of disorders such as Rett syndrome at the NIH National Institute of Environmental Health Sciences, to contributing to neurosurgery research at Wake Forest with a focus on cognition and perioperative outcomes.
Now, as a Postdoctoral Research Fellow in the Neuroanesthesia Laboratory of Dr. Miles Berger at Stanford, Dr. Phoenix is uniting her lifelong fascination with the brain and cognitive decline, and her future clinical practice in anesthesiology. Her current work focuses on elucidating the mechanisms behind — and developing early detection strategies for — postoperative delirium in the elderly surgical population.
Through this fellowship, Dr. Phoenix is building the foundation for her career as a physician-scientist, committed to advancing patient care while pursuing research that safeguards cognitive health in the perioperative setting. -
Tanmoy Sarkar Pias
Postdoctoral Scholar, Urology
BioI am currently working on multimodal, multi-task foundation models to detect cancer and improve surgery. I am exploring image segmentation models, foundation models, and reinforcement learning with agents. My previous work spans a range of directions, including knowledge-guided machine learning models, systematic evaluation of high-risk models, mitigation of deficiencies and biases, automatic generation of gradient-based test cases, decision boundary estimation and analysis of deep learning models, and developing approaches to make machine learning models more fair and reliable.
