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Results for Machine Learning

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Gregory Tasian, MD, MSCE
Gregory Tasian

Dr. Tasian and his research team use an epidemiologic framework, including randomized trials and multi-institutional observational studies, to examine the etiology of kidney stone disease and the comparative effectiveness of surgical interventions. He also employs machine learning of complex data to improve diagnosis, risk stratification, and prediction of treatment response for children and adults with benign urologic disease.

E-mail:
tasiang [at] chop.edu
Birkan Tunç, PhD
Birkan Tunç

Dr. Tunç is a computational scientist investigating the application of machine learning and statistical data analysis in various domains such as digital phenotyping, nature of psychopathology, and neuroimaging. He participates in studies using normative, developmental, and clinical samples to parse heterogeneity in psychiatric disorders by developing novel computational techniques.

E-mail:
tuncb [at] chop.edu
Fuchiang (Rich) Tsui, PhD, FAMIA
Fuchiang (Rich) Tsui

Dr. Tsui's research interests include clinical informatics, natural language processing, artificial intelligence and machine learning, population informatics, data science, signal processing, mobile healthcare, and large real-time clinical production systems. He's published over 100 peer-reviewed papers.

E-mail:
tsuif [at] chop.edu
Jarcy Zee, PhD
Jarcy Zee

Dr. Zee's statistical methods research includes topics in survival analysis, measurement error, observational data methods, and machine learning. Her clinical research is focused on kidney disease, specifically in clinical and pathology markers of glomerular and chronic kidney disease progression.

E-mail:
zeej [at] chop.edu
Amrom Obstfeld, MD, PhD
Amrom Obstfeld, MD, PhD

Dr. Obstfeld’s research focuses on utilizing clinical and pre-clinical laboratory data sets for predicting diagnosis and prognosis using statistical and machine learning techniques.

E-mail:
obstfelda [at] chop.edu
Stephen R. Master, MD, PhD
Stephen R. Master

Dr. Master works to understand the biochemical pathways related to inborn errors of metabolism, particularly as they relate to mitochondrial function. He also focuses on bioinformatics and machine learning solutions to problems in mass spectrometry and laboratory medicine.

E-mail:
masters [at] chop.edu
Nikolaos G. Sgourakis, PhD
Nikolaos G. Sgourakis

Dr. Sgourakis’ research focuses on understanding the intricate molecular mechanisms that determine the vast repertoire of peptide antigens displayed by the proteins of the Major Histocompatibility Complex for immune surveillance by T cells and Natural Killer cells.

E-mail:
sgourakisn [at] chop.edu
Wanding Zhou, PhD
Wanding Zhou

Dr. Zhou’s outstanding research interests include mitosis-coupled DNA methylation drift and inference of cell-type-specific epigenetic signals. He developed multiple computational tools for analyzing DNA methylation data and has actively contributed to cancer genomics data analysis.

E-mail:
zhouw3 [at] chop.edu
Julia Parish-Morris, PhD
Julia Parish-Morris

Dr. Parish-Morris investigates social communication, specifically how vocal communication develops in children and adolescents with autism spectrum disorder. She uses computational approaches and machine learning to identify objective and reliable behavioral markers for use in screening, treatment and intervention response tracking, and to advance biological research.

E-mail:
parishmorrisj [at] chop.edu
Ian M. Cambell, MD, PhD
Ian M. Campbell

Dr. Campbell is interested in approaches to improve diagnosis of children with rare genetic diseases. He also focuses on better understanding of the full spectrum of symptoms associated with genetic diseases as well as discovering new diseases.

E-mail:
campbellim [at] chop.edu
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In this section

Filter By

  • Principal Investigator / Faculty (12)
  • Researcher / Lab Personnel (3)
  • Research Administration (1)

Organizations

  • Department of Biomedical and Health Informatics (23)
  • Center for Autism Research (11)
  • Center for Applied Genomics (9)
  • Department of Pediatrics (7)
  • Center for Childhood Cancer Research (5)
  • Department of Anesthesiology and Critical Care Medicine (5)
  • PolicyLab (5)
  • Center for Computational and Genomic Medicine (4)
  • Center for Injury Research and Prevention (4)
  • Clinical Futures (4)
  • Division of Oncology (4)
  • Division of Pulmonary and Sleep Medicine (4)
  • Lifespan Brain Institute (4)
  • Center for Data-Driven Discovery in Biomedicine (3)
  • Department of Pathology and Laboratory Medicine (3)
  • Department of Radiology (3)
  • Division of Neonatology (3)
  • Lurie Family Foundations MEG Imaging Center (3)
  • Research in the Department of Child and Adolescent Psychiatry and Behavioral Services (3)
  • Center for Pediatric Heart Valve Disorders (2)
  • CHOP Cardiovascular Institute (2)
  • Division of Adolescent Medicine (2)
  • Division of Hematology (2)
  • Division of Human Genetics (2)
  • Division of Infectious Diseases (2)
  • Division of Neurology (2)
  • Epilepsy NeuroGenetics Initiative (ENGIN) (2)
  • Mitochondrial Medicine (2)
  • Office of Academic Training and Outreach Programs (2)
  • The Resuscitation Science Center (2)
  • Wolfson Family Laboratory for Clinical and Biomedical Optics (2)
  • Anderson Laboratory (1)
  • Aquatic Zebrafish Core (1)
  • Biomedical Optical Devices to Monitor Cerebral Health (1)
  • Brain-Gene-Development Lab (1)
  • Campbell Laboratory (1)
  • Center for Human Phenomic Science (1)
  • Center for Spatial and Functional Genomics (1)
  • CHOP Microbiome Center (1)
  • Comprehensive Bone Marrow Failure Center (1)
  • Congenital Hyperinsulinism Research Laboratory (1)
  • DBHi Bioinformatics (1)
  • Department of Surgery (1)
  • Division of Allergy and Immunology (1)
  • Division of Cardiology (1)
  • Division of Developmental and Behavioral Pediatrics (1)
  • Division of Endocrinology and Diabetes (1)
  • Division of Nephrology (1)
  • Division of Rehabilitation Medicine (1)
  • Genes, Genomics, and Pediatric Disease Affinity Group (1)
  • IDDRC Biostatistics and Data Science Core (1)
  • Innovation Ecosystem (1)
  • Institutional Review Board (1)
  • Intellectual and Developmental Disabilities Research Center (1)
  • Jolley Laboratory (1)
  • Neuromotor Performance Lab (1)
  • Pediatric Cardiac Critical Care Consortium (1)
  • Raymond G. Perelman Center for Cellular and Molecular Therapeutics (1)
  • Tsui Laboratory (1)
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