Jonathan Haines, PhD, is a genetic epidemiologist, Mary W. Sheldon M.D. Professor of Genomic Sciences, Chair of Department of Population and Quantitative Health Sciences, and Director of the Cleveland Institute for Computational Biology. Dr. Haines has extensive experience in all aspects of genetic epidemiology with a particular focus on data analytics.  He has applied his expertise to numerous neurological and ophthalmological disorders having located and identified over 20 causal and 200 associated loci.  His interests are in adapting and applying statistical computational methods to biomedical big data.  Learn more...

Mark Beno, MSM, is Senior Director of Strategic Operations for the Cleveland Institute for Computational Biology.  Mark received his Master’s in 2016 from the Weatherhead School of Management (Case Western Reserve University) as part of the inaugural cohort in the Master’s of Science in Management program with a focus on healthcare.  A 27-year employee of Case Western Reserve University, with a BA in Biochemistry (CWRU), prior to joining the CICB, Mark was the administrative and finance manager for multiple University research departments, and was involved in several multi-institutional research efforts.  Learn more...

William S. Bush, PhD, MS, is a professor in the Department of Population and Quantitative Health Sciences and the Associate Director for Computational Genomics for the Cleveland Institute for Computational Biology at Case Western Reserve University.  Dr. Bush received his PhD at Vanderbilt University in Human Genetics in 2008 and then continued as a post-doctoral fellow in the Neurogenomics Training Program at Vanderbilt.  Dr. Bush was recently named a Mt. Sinai Health Care Foundation Scholar.  As a human geneticist and bioinformatician, Dr. Bush’s research interests include understanding the functional impact of genetic variation, developing statistical and bioinformatics approaches for integrating functional genomics knowledge into genetic analysis, and the use of electronic medical records for translational research.  Learn more...

E. Ricky Chan, PhD, is an instructor in the Department of Population and Quantitative Health Sciences and Director of the Bioinformatics Core for the Cleveland Institute for Computational Biology.  His focus is to provide a gateway for labs seeking assistance in the field of bioinformatics and computational analysis.  This need has grown tremendously as additional research projects are leveraging the use of next-generation sequencing methods but lack the computational expertise to handle large datasets.  Dr. Chan received his PhD from Case Western Reserve University under the mentorship of Dr. Mark Adams, mapping ENU-induced mutations in mouse models of blood disorders, uncovering a recessive mutation in the TPO receptor that leads to thrombocytopenia with over-dominance.  He continued his training as a post-doctoral fellow with Dr. David Serre at the Cleveland Clinic where his focus was on the genomic characterization of the malarial parasite Plasmodium vivax, revealing a common duplication of the Duffy binding protein in Malagasy individuals which may be involved in the uncanny observation of P. vivax infecting Duffy negative individuals in that region.  During his post-doc training Dr. Chan also developed and implemented a novel method and pipeline for the characterization of microbiome data using 16s sequencing in several disease models and studies including colon cancer, metabolic uptake, and restoration of colonization resistance of nosocomial pathogens after antimicrobial treatment.  From these highly collaborative experiences Dr. Chan has become an expert in the processing and analysis of next-generation sequencing data.  As the director of the Computational Biology core he continues to develop and test new genomic and computational tools to assist in various research studies including but not limited to infectious disease, cancer, metabolism, and the microbiome.  Please contact Dr. Chan if you have a project requiring analytical assistance with next-generation sequencing data including whole genome or exome sequencing, RNA-Seq, locus-specific sequencing, SNP and variant detection and comparative genomics.  Learn more...

Dana Crawford, PhD, is a professor in the Department of Population and Quantitative Health Sciences and Associate Director for Population and Diversity Research in the Cleveland Institute for Computational Biology.  Dr. Crawford received her Ph.D. at Emory University in genetics and molecular biology in 2000 and then trained as a post-doctoral fellow as an Epidemic Intelligence Service Officer at the Centers for Disease Control and Prevention (2000-2002) and as a senior fellow at the University of Washington’s Department of Genome Sciences (2002-2006).  Prior to her most current position, Dr. Crawford spent eight years as tenure-track faculty in Department of Molecular Physiology and Biophysics and Investigator in the Center for Human Genetics Research at Vanderbilt University.  As a genetic epidemiologist at CWRU, Dr. Crawford’s broad research interests include applying genetic variation data to large-scale epidemiologic and clinical cohorts to better understand human genotype-phenotype associations with an emphasis on diverse populations.  Learn more...

David Kaelber, MD, PhD, MPH, MS, FAAP, FACP, FACMI serves on the Executive Committee of the Cleveland Institute for Computational Biology. Dr. Kaelber is a practicing internist and pediatrician and the first Chief Medical Informatics Officer and Vice-President of Health Informatics of the MetroHealth System, the public healthcare system for Cleveland, which is affiliated with Case Western Reserve University’s School of Medicine. He also is a professor of Internal Medicine, Pediatrics, and Population and Quantitative Health Sciences with CWRU's School of Medicine.

Dr. Kaelber is the founding Director of MetroHealth’s Center for Clinical Informatics Research and Education and the Center for Health Informatics and Patient Engagement, as well as founding Fellowship Director of Case Western Reserve University's (MetroHealth) ACGME accredited Clinical Informatics Fellowship. Dr. Kaelber was in the first group of physician informaticists to become board certified in Clinical Informatics in 2013. His areas of interest and research include personal health records, electronic health records, clinical decision support, health information exchange, telehealth, the teaching of medical informatics to medical students, resident physicians and fellows, using "big data" and electronic health records for chronic disease detection and management, and other areas of clinical informatics, as well as research in med-peds, a combined specialty of internal medicine and pediatrics.

Satya S. Sahoo. PhD, serves on the Executive Committee of the Cleveland Institute for Computational Biology. Dr. Sahoo is an associate professor and the director of the Biomedical & Health Informatics PhD program in the Department of Population and Quantitative Health Sciences with CWRU's School of Medicine. His research is focused on developing new data and metadata representation and analysis techniques for biomedical and healthcare research. Dr. Sahoo has led the development of four ontologies in multiple domains, including one for complex neurological disorder, such as epilepsy.  Learn more ...

Scott M. Williams, PhD, serves on the Executive Committee of the Cleveland Institute for Computational Biology. Dr. Williams is a professor and the director of the Epidemiology & Biostatistics graduate studies program in the Department of Population and Quantitative Health Sciences. He also is a professor with the Department of Genetics and Genome Sciences. Both departments are part of Case Western Reserve University School of Medicine. Williams is an expert in the genetics of complex human disease, including the genetic risk of adverse pregnancy outcomes, hypertension, cardiovascular disease, cancers, and susceptibility to infection. An experienced population geneticist, he studies how genes, either singly or in interactions with the environment, affect disease risk in different populations. Learn more ...