School of Medicine
Showing 1-50 of 184 Results
-
Muhammad Abdelbasset Muhammad Ahmad
Postdoctoral Scholar, Infectious Diseases
BioPostdoctoral fellow, Department of Medicine, Stanford University (2022– Present).
PhD, Duke-National University of Singapore (2017 – 2021).
MSc, Faculty of Pharmacy, Cairo University (2014 – 2016).
BSc, Faculty of Pharmacy, Cairo University (2007 – 2012). -
Maryam Amirahmadi
Postdoctoral Scholar, Cardiovascular Medicine
BioDr. Maryam Amirahmadi is a microsurgery expert and postdoctoral research fellow at Stanford Cardiovascular Institute. She obtained her Doctor of Medicine (MD) degree from Hamadan University of Medical Sciences. After more than a year of experience as a Family and Emergency Physician, she spent around 4 years at the Department of Cardiovascular Surgery of Shiraz University of Medical Sciences where she served as a pediatric and adult Cardiac Intensive Care physician and received training in cardiovascular surgery at Namazi and Faghihi hospitals. She then spent a year in the Department of Vascular Surgery at the University of Miami, Miller School of Medicine, serving as a postdoctoral researcher and performing microsurgery on animals, with her research focused on therapeutic strategies to improve neovascularization after limb ischemia. Dr. Amirahmadi joined Stanford Cardiovascular Institute in 2022 where she is now a postdoctoral research fellow under the supervision of Prof. Philip S. Tsao, a renowned cardiovascular scientist. Her research interests and practical expertise include Microsurgery, and the effect of e-cigarette vaping on factors of inflammatory or immune pathways that can subsequently be related to the molecular mechanisms involved in angiogenesis and arteriogenesis in the murine model of hindlimb ischemia, as well as the mechanisms of e-cigarette and nicotine’s effects in augmenting Abdominal Aortic Aneurysm (AAA) in rodent models of aortic aneurysm, including porcine pancreatic elastase-induced AAA. Dr. Maryam Amirahmadi and her colleagues are currently investigating the transgenerational effects of vaping/nicotine on abdominal aortic aneurysm (AAA) risk.
-
Florian Bach
Postdoctoral Scholar, Infectious Diseases
BioI'm a molecular infection biologist by training, but shifted my focus from pathogens to hosts for my graduate research. During my PhD with Phil Spence in Edinburgh I studied both falciparum and vivax malaria using controlled human (re)infection models, collaborating closely with the groups of Simon Draper and Angela Minassian in Oxford. As a hybrid bioinformatician and experimentalist, I love systems immunology for answering complex questions about human health. For my postdoc, I study in how the human immune response to malaria evolves in infants as they become reinfected and age. I'm also interested in how such early-life immunological events, malaria and beyond, may affect vaccine responses and immune development later in life. I address this question by making use of a longitudinal study cohort of infants receiving monthly chemoprevention in Eastern Uganda, together with our collaborators at UC San Francisco and IDRC Uganda.
-
Adrian Matias Bacong
Postdoctoral Scholar, Cardiovascular Medicine
Current Research and Scholarly InterestsAdrian M. Bacong, PhD, MPH is a social epidemiologist by training. His research seeks to identify social and structural factors that underlie health inequities by race, ethnicity, and immigration status. Specifically, his work has explored the role of socioeconomic factors in explaining health disparities by immigrant legal status and visa type. Furthermore, Adrian is interested in the effects of immigration on health. He received a NIH F31 award (1F31MD015931-01A1) to examine factors affecting the health of Filipino migrants to the U.S. compared to Filipinos remaining in the Philippines.
Adrian has also examined the intersections of race, ethnicity, and immigration status among older adults. Finally, Adrian written upon the role of data disaggregation as a method of public health critical race praxis. Currently, Adrian is researching the role of social and policy level factors underlying health disparities among immigrants. -
Cameron Scott Bader
Postdoctoral Scholar, Bone Marrow Transplantation
BioMy research is focused on using preclinical models to develop novel therapies which improve outcomes for patients receiving allogeneic hematopoietic stem cell transplantation. Currently, my work aims to establish strategies to reduce the risk of relapse after allogeneic hematopoietic stem cell transplantation without exacerbating graft-versus-host disease or interfering with donor stem cell engraftment.
-
Xiangqi Bai
Postdoctoral Scholar, Oncology
BioMy research is focused on computational and systems biology. My primary research interest lies in developing new computational algorithms and statistical methods for the analysis of complex data in biological systems, especially related to the large-scale single-cell RNA sequencing data. The specific topics I have examined include:
1. Integration of single-cell multi-omics datasets for tumor
2. Statistical test of cell developmental trajectories
3. Visualization and reconstruction of single-cell RNA sequencing data
4. Computational analysis of the bifurcating event revealed by dynamical network biomarker methods -
Vasiliki (Vicky) Bikia
Postdoctoral Scholar, Biomedical Informatics
BioDr. Vasiliki Bikia is a Postdoctoral Researcher at Stanford University, jointly affiliated with the Institute for Human-Centered Artificial Intelligence (HAI) and the Department of Biomedical Data Science, where she works under the mentorship of Prof. Roxana Daneshjou. She holds an Advanced Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki (AUTH), Greece (2017), and a Ph.D. in Biomedical Engineering from the Swiss Federal Institute of Technology of Lausanne (EPFL), Switzerland (2021). Her doctoral work focused on addressing the clinical need for non-invasive cardiovascular monitoring by combining machine learning with physics-based numerical modeling.
Dr. Bikia's research centers on the development of large multimodal models to improve patient outcome prediction. She is also passionate about building patient-facing chatbots that help individuals better understand complex medical information, ultimately aiming to enhance communication and empower patients in their care journey. Moreover, she has contributed to the Stanford Spezi framework, designing and prototyping the Spezi Data Pipeline tool for enhanced digital health data accessibility and analysis workflows. -
Pauline Brochet
Postdoctoral Scholar, Cardiovascular Medicine
BioPauline Brochet is a French scientist from Souraide, France. She completed her undergraduate studies in Molecular, Cellular and Physiological Biology (BSc, Université Clermont-Auvergne) and earned a Master's degree in Software Development and Data Analysis (MSc, Aix-Marseille Université). Pauline pursued a PhD at TAGC (Theories and Approaches for Genomic Complexity) in Marseille, France.
Under the supervision of Dr. Christophe Chevillard and Dr. Lionel Spinelli, Pauline integrated multi-omics data from human heart tissue to investigate the pathogenic processes associated with Chagas Disease Cardiomyopathy (CCC). Notably, she contributed to the development of ChagasDB, the first database associating key features with the different stages of Chagas disease. Her research identified the involvement of mitochondrial DNA mutations, non-coding RNA, transcription factors, and DNA methylation in various pathogenic processes, all leading to the progression of CCC.
Currently, at Stanford University, under the guidance of Dr. Matthew Wheeler and Dr. Daniel Katz, Pauline is conducting postdoctoral research on multi-omics data analysis as part of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). Her work focuses on identifying key covariable features associated with physical exercise, with the ultimate goal of discovering exercise-mimetic drugs that could help prevent heart diseases. -
Paulami Chatterjee
Postdoctoral Scholar, Pulmonary and Critical Care Medicine
Current Research and Scholarly InterestsMy research involves studying the pathogenic mechanisms underlying the host-pathogen interaction in pulmonary diseases. I am particularly interested in exploring transcriptomic and proteomic changes in Cystic Fibrosis and Asthma patients who develop severe allergic inflammation due to fungal hypersensitivity. Complete understanding of these interaction will help us identify significant fungal virulence factors and help us define clinically relevant targets for therapeutic use.
-
Tianqi Chen
Postdoctoral Scholar, Oncology
BioMy research interest lies in liquid biopsy and early cancer diagnostics, e.g. development of bioassay for detection of cancer biomarkers (proteins and genes) and single-cell research. As well as the integration of 3D-printed microfluidics.
-
Ya'el Courtney
Postdoctoral Scholar, Immunology and Rheumatology
BioDr. Ya’el Courtney is a postdoctoral scholar in Immunology and Rheumatology in the Department of Medicine at Stanford University, working with Dr. William H. Robinson. Her research focuses on uncovering the mechanisms underlying post-acute sequelae following viral and bacterial infection. Dr. Courtney earned her PhD from Harvard University, where she investigated the role of the choroid plexus in brain development and its response to maternal psychedelic exposure. Beyond research, she is passionate about science communication and mentoring the next generation of scientists.
-
Hejie Cui
Postdoctoral Scholar, Biomedical Informatics
BioDr. Hejie Cui is a postdoctoral researcher at the Stanford Center for Biomedical Informatics Research at Stanford University. Her research focuses on the intersection of machine learning, data mining, and biomedical informatics. At Stanford, Dr. Cui works on large language model (LLM) evaluation and post-training for healthcare. Dr. Cui has authored and co-authored several publications in top computer science and interdisciplinary venues, including NeurIPS, KDD, AAAI, CIKM, TMI, and MICCAI. Her work contributes to advancing the application of artificial intelligence in healthcare and improving the understanding of complex biomedical data. Dr. Cui was selected as a Rising Star in EECS in 2023. She has also received numerous awards, including the Fellowship of 2021 CRA-WP Grad Cohort for Women, Student Travel Grant Award for MICCAI'22, NSF Travel Grant for CIKM'22, and NeurIPS AI4Science Travel Award for NeurIPS'22. Dr. Cui holds a Ph.D. in Computer Science from Emory University (2024) and a B.Eng. in Computer Science and Engineering from Tongji University (2019). During her graduate studies, she gained industry experience through internships at Microsoft Research and Amazon Science.
-
Ali Etemadi
Postdoctoral Scholar, Nephrology
Current Research and Scholarly InterestsI am a clinician and data scientist focusing on drawing causal inferences from observational data when randomized controlled trials are not feasible. Currently, my work centers on patients with late-stage chronic kidney disease, a rapidly growing population for which evidence is limited due to their frequent exclusion from RCTs. At the moment, I aim to move towards precision medicine approaches to optimize outcomes for these patients.
-
Sonia Ferkel
Postdoctoral Scholar, Gastroenterology
Bio08/2023 - Present: Postdoctoral Scholar - Precision Medicine, Spatial-Omic Technologies - Stanford University
2023: Preclinical Research Trainee - Translational Molecular Sciences - Max Planck-Institute for Multidisciplinary Sciences Göttingen, Germany
2021 - 2022: Clinical Intern - Focus on Oncology and Gastroenterology - University Medical Center Göttingen, Germany -
Priya Fielding-Singh
Postdoctoral Scholar, SCRDP/ Heart Disease Prevention
BioI am a Sociologist and Postdoctoral Fellow in Cardiovascular Disease Prevention at the Stanford Prevention Research Center. My research examines health, gender, and social inequality.
My primary research agenda investigates health disparities across class, race, and gender in the United States. I draw on both qualitative and quantitative methods to understand how neighborhoods, schools, and families shape our health behaviors and outcomes. My work has been published in journals such as Social Science & Medicine, Obesity, Sociological Science, and the Journal of Adolescent Health.
I hold a Ph.D. in Sociology from Stanford University, a M.A. in Anthropology from the University of Bremen, and a B.S. in Education and Social Policy from Northwestern University. -
Joshua Gillard
Postdoctoral Scholar, Cardiovascular Medicine
BioDr. Josh Gillard is a Canadian biomedical data scientist with experience in bioinformatics, machine learning, and immunology. After completing a BSc and a MSc in Experimental Medicine at McGill university, he relocated to the Netherlands for his PhD in bioinformatics at Radboud University in Nijmegen. During his PhD, he gained experience analyzing and interpreting complex immunological data (bulk and single-cell transcriptomics, high-dimensional cytometry, high-throughput proteomics) derived from human observational or intervention studies (vaccination and experimental human infection) in order to discover molecular and cellular correlates of clinically important endpoints such as disease severity, symptom progression, and antibody responses. In 2022, Josh relocated to Stanford to join the Gaudilliere lab to develop and apply multi-omic data integration and machine learning techniques, establishing that early gestational immune dysregulation can predict preterm birth. Since 2024, in the Ashley lab, Josh is focused on applying deep learning models to investigate aberrant splicing in cardiovascular disease.
-
Ethan Goh, MD, MS
Postdoctoral Scholar, General Internal Medicine
BioDr. Ethan Goh is an experienced healthcare executive with a background in informatics, digital health transformation, and strategic innovation. His research at Stanford focuses on leading multi-site, grant-funded evaluation of Large Language Model applications within healthcare. As a cited healthcare AI expert, Dr. Goh's work has been featured in The New York Times, The Washington Post, and other leading publications.
Prior to academic research, he was an Internal Medicine clinician, startup founder, and technology consultant, working with partners like Google, OpenAI, Roche, Samsung, and the NHS in the development, validation and commercialization of digital health products and AI technology. He holds a medical degree from Imperial College London, and a Masters in Clinical Informatics and Management from Stanford University.
