School of Medicine
Showing 541-550 of 1,299 Results
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Husham Sharifi
Clinical Assistant Professor, Medicine - Pulmonary, Allergy & Critical Care Medicine
BioI am a Clinical Assistant Professor in the Division of Pulmonary, Allergy, and Critical Care Medicine in Stanford University School of Medicine. In addition to seeing patients in the intensive care unit (ICU), I focus my research and clinical practice on transplant-related pulmonary fibrosis, which includes fibrotic lung disease after lung transplant or after hematopoietic cell transplant. My research applies advanced computational analysis to clinical metadata and quantitative imaging data, domains that draw on my training in engineering and bioinformatics. In the clinical setting I see patients in a Lung Graft-versus-Host-Disease (GVHD) Clinic for individuals with pulmonary complications after life-saving hematopoietic cell transplant. Our clinic is part of a national Lung GVHD Consortium comprising Stanford, Fred Hutchinson Cancer Center, University of Michigan, and MD Anderson Cancer Center. In this context I am the site co-Principal Investigator for two national clinical trials through the Lung GVHD Consortium that are funded by the National Institutes of Health. The first trial uses a home spirometry device and monitoring system to study the association of Lung GVHD with respiratory viral infections. The second trial studies the diagnostic and prognostic utility of quantitative CT scans of the chest for Lung GVHD. My goal is to fuse detailed, communicative patient care with the advances of data science in medicine that I research and study.
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Aditi Sharma
Basic Life Research Scientist, Pediatrics - General Pediatrics
Current Role at StanfordResearch Scientist
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Disha Sharma
Postdoctoral Scholar, Cardiovascular Medicine
BioI am a computational biologist with more than 12 years of extensive experience aiming to pursue career in developing translational medicine- and healthcare-oriented solutions. I have Ph.D. in bioinformatics with technical expertise for next-generation sequencing assays, genome-wide association studies, bulk and single-cell multi-omics analysis, R, python, shell Scripting, cloud computing, Data structure and algorithms, as well as machine and deep learning algorithms. I have solid background in genomics, transcriptomics, epigenomics and metagenomics. I have worked with both complex and rare genetic disorders performing data analysis, data interpretation, data curation with clinical data and databases.
I am presently a postdoctoral fellow at Stanford University for 4 years now where my main focus is to understand the genetic risks of cardiometabolic diseases using GWAS, integrating modalities including single-cell multiomics, CRISPR perturbation datasets. I am working on building machine learning models and use statistical genetics tools using large biobanks including UKBiobank, AllofUS and MVP.
