School of Medicine
Showing 1,301-1,320 of 1,564 Results
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Rachel Turn
Postdoctoral Scholar, Microbiology and Immunology
Current Research and Scholarly InterestsExpertise in cell bio, small GTPases, cell signaling, primary cilia, G0
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Ummey Hani, MBBS, MD
Postdoctoral Scholar, Neurosurgery
BioHani is a Postdoctoral Research Fellow at Stanford University in the Neurosurgical Artificial Intelligence and Machine Learning Laboratory. She earned her medical degree from Sindh Medical College, Pakistan, and completed her internship at the Aga Khan University, where she was recognized as Class Valedictorian and among the top five interns of 2022. She then pursued a two-year postdoctoral fellowship at Carolina Neurosurgery and Spine Associates in Charlotte, North Carolina, affiliated with Wake Forest University School of Medicine, focusing on spine surgery outcomes and biomechanics. Before joining Stanford, she served as Junior Research Faculty for neuro-oncology research at the Aga Khan University in Karachi, Pakistan.
Hani’s research spans neuro-oncology, spine surgery, biomechanics, and the application of AI/ML in neurosurgical innovation. With a deep commitment to academic neurosurgery, she is currently working towards securing a neurosurgical residency. -
Rachel Allison Ungar
Postdoctoral Scholar, Biomedical Ethics
BioRachel Ungar, PhD, is a Postdoctoral Fellow in the Stanford Training Program in ELSI Research (T32) at the Stanford Center for Biomedical Ethics. Her graduate research was in computational genomics focused on multiomics approaches in Stephen Montgomery’s lab. She was an active member of the Undiagnosed Diseases Network, and GREGoR rare disease consortia focused on transcriptomic methods and data standards. She also examined the impact of rare variants and sex on the X-chromosome. During her PhD, she co-created and taught a course expanding ethics education to bioscientists (GENE 220: Genetics, Ethics, and Society) and evaluated its impact. During her postdoc, Rachel aims to use her background to integrate genomics and ethics, beginning with ethical considerations for rare and undiagnosed disorders. Rachel received her PhD in Genetics at Stanford. She earned her Bachelor of Science in Biology at the University of Arkansas with minors in mathematics and computer science.
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Laura van Dam
Postdoctoral Scholar, Immunology and Rheumatology
BioI am both trained as a biomedical researcher and medical doctor in internal medicine and strive to close the gap between the clinic and fundamental sciences with translational research. My focus is to study the mechanisms of autoimmune diseases and to translate research insights into therapeutics targeting autoimmunity. I have received my PhD in 2022 in Leiden for studying neutrophil extracellular traps and autoreactive B cells in renal autoimmune diseases. My postdoctoral research project in the Robinson lab focuses on investigating the underlying molecular mechanisms of the pathogenesis of ANCA-associated vasculitis. I particularly aim to identify potential microbial triggers and molecular mimicry in ANCA-associated vasculitis, by characterizing the nasal microbiome and sequencing T cells and B cells of ANCA-associated vasculitis patients.
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Laurens van de Wiel
Postdoctoral Scholar, Cardiovascular Medicine
BioI am a post-doctoral researcher at Stanford University under supervision of Matthew Wheeler and Stephen Montgomery. My research focuses on understanding the entire spectrum of genetic variation effects on protein function and structure in order to decipher molecular mechanisms of disease.
My post-doctoral work centers on developing novel software methodologies which combine multi-omics data to interpret the functional impact of genetic variants in undiagnosed patients. I am part of the Undiagnosed Disease Network (UDN) at Stanford Center for Undiagnosed Diseases (CUD), Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) consortium at GREGoR Stanford Site (GSS), and the Molecular Transducers of Physical Activity Consortium (MoTrPAC) at the Bioinformatics Center (BIC).
Before joining Stanford. I was received my Ph.D. in 2021 at the Radboud University Medical Center under supervision of Christian Gilissen, Gert Vriend, and Joris Veltman. I received my MSc degree in 2014 at Radboud University under supervision of Tom Heskes, Evgeni Levin, and Armand Paauw. Before my Ph.D, I worked as a Data Scientist at FLXone, where I developed machine learning solutions within a large-scale, real-time infrastructure.
Research
I am interested in a variety of topics in Bioinformatics and Computer Science. In particular, I am interested in the application of Artificial Intelligence and Statistical Modelling to analyse human (Rare) Mendelian Disease Genetics, Evolutionary Comparative Genomics, Protein Domain Homology, and Molecular Structures. -
Henk van Voorst
Postdoctoral Scholar, Radiology
BioDr. van Voorst is a postdoctoral scholar in Radiology studying the interfaces of artificial intelligence and neuroradiological imaging in stroke. Originally educated as an MD, Dr. van Voorst gained additional degrees in Finance and Data Science. As a PhD student, Dr. van Voorst focused on cost-effectiveness modeling and developed machine learning and deep learning algorithms with applications in acute ischemic stroke imaging. In his current research, Dr. van Voorst develops artificial intelligence algorithms to automatically extract information from arteries and veins in radiological stroke imaging.
