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Department of

Graduate Programs in Biomedical Informatics

PhD Program Deadlines:
December 1 (non-binding early action)
February 15 (general admission)

Faculty Research Highlights

Primary Faculty

Brett HarnettBrett Harnett, MS-IS

Assistant Professor, Biomedical Informatics. Professor Harnett serves as the Director for the UC Center for Health Informatics (CHI) within the Department of Biomedical Informatics. The CHI is the institutional Honest Broker that provides clinical data for research. Other service lines include developing enterprise-class tools for organizing, displaying and visualizing data using analytics. His teaching and research includes medical informatics, patient-centered applications and telehealth. Brett also serves on the UC Institutional Review Board (IRB).
PubMed  |  ResearchGate

 


wu-dannyDanny T. Y. Wu, PhD

Assistant Professor, Biomedical Informatics. Danny T.Y. Wu recently joined the University ofCincinnati Department of Biomedical Informatics (BMI) as an Assistant Professor. His research  draws on human-computer interaction, data mining, information retrieval, and natural language processing to maximize the value of clinical data stored in electronic health records to improve care quality and support clinical and translational research. Wu received both his PhD and master’s degree from the University of Michigan School of Information prior to joining UC. Before going to graduate school, he worked as a software engineer for four years. In addition to research, Wu is dedicated to education, service, and practical engagement. He was appointed as a Lecturer in the Department of Health Management and Policy at the University of Michigan in Fall 2015, teaching a graduate-level course on database systems and Internet applications. He was a senior analyst leading a programming team to develop, implement, and innovate dynamic data capture systems at the University of Michigan Congenital Heart Center. Wu served on the student editorial board of the Journal of American Medical Informatics Association in 2015 and 2016.

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Secondary Faculty

Mario MedvedovicMario Medvedovic, PhD 

Interim Chair, Department of Biomedical Informatics, and Professor of Environmental Health. Dr. Medvedovic is developing and applying new statistical and computational methods for the analysis of “big data” in the context of biomedical research. His recent work is focused on the reconstruction of regulatory networks using libraries of genome-scale signatures of cellular perturbations. He is also developing protocols for analyzing next-generation sequencing data, and working on development and application of unsupervised statistical learning approaches based on the non-parametric Bayesian models. He is also the director of the Division of Biostatistics and Bioinformatics in UC's Department of Environment Health.
Lab Website  |  Google Scholar


Jarek MellerJaroslaw (Jarek) Meller, PhD 

Graduate Program Director, Associate Professor, Environmental Health. Dr. Meller serves Graduate Program Director for Biomedical Informatics and also pursues several lines of research in molecular modeling, structural bioinformatics and computational genomics, at the intersection of data science and biomedicine. Dr. Meller and his group have developed a number of successful methods for the prediction of protein structure, protein-protein interactions and functional hot spots in proteins. Several web servers developed by the group, including Sable, Sppider, Minnou and Polyview have widely been used, with a total of over 1 million submissions from more than 30,000 users in many countries. Dr. Meller has also been active in the development and applications of methods for knowledge extraction from high dimensional genomic data. He and his group have been involved in many collaborative projects with direct medical relevance. Examples include identification of markers associated with disease subtypes in cancer and autoimmunity, modeling of signal transduction pathways in differentiation and development, and developing inhibitors of critical protein-protein interactions in autophagy, bone marrow transplants, and pathogen-host interactions.
Lab Website  |  Google Scholar  |  PubMed


Associated Graduate Program Faculty

Cincinnati Children's Biomedical Informatics Faculty Affiliates

Click the link above to browse a listing of faculty who are affiliated with the Division of Biomedical Informatics at Cincinnati Children's Hospital Medical Center.



AtluriGowtham Atluri, PhD

Assistant Professor, Electrical Engineering and Computer Systems.  The focus of his research is to develop novel data science insights and methodologies that will accelerate the pace of scientific discovery. Specifically, his main thrust is in developing techniques for discovering untapped information in space-time data that is becoming ubiquitous in several domains, including neuroscience, climate science, mobile health, and social sciences. Development of novel frameworks for knowledge discovery is crucial to tackle the challenges introduced by the characteristics of the data and the new data science problems that arise in these domains. Some key directions in his research that are motivated from the above disciplines include studying networks in space-time data, comparing space-time instances, discovering patterns, and integrating data from different sources. With his work in these directions, he hopes to advance data science and have a far reaching impact in the form of scientific discoveries in several application domains.
Lab Website |  Publications


Artem Barski, PhDArtem Barski, PhD

Assistant Professor, UC Department of Pediatrics. Dr. Barski is interested in epigenomics and transcriptional regulation of gene expression. His PhD at the University of Southern California was focused on transcriptional regulation in osteoblasts. During his post-doctoral training in Keji Zhao lab at NIH, Dr. Barski took part in the development of ChIP-Seq, a revolutionary method that combines ChIP with the next-generation sequencing. ChIP-Seq allows genome-wide mapping of chromatin modifications and transcription factor binding sites with resolution and sensitivity far exceeding older methods. Since his arrival to Cincinnati Children’s Hospital Medical Center in 2011, Dr. Barski is working on epigenomics of immunological memory. His laboratory is also developing both wet lab and computational approaches to the study of epigenomics and runs Cincinnati Children's Epigenomics Data Analysis Core. Dr. Barski has publications in prestigious journals including Cell, Nature Structural and Molecular Biology Genome Biology and others. He is a recipient of NHLBI Career Transition Award (K22) and NIH Director’s New Innovator Award (DP2). See his BioWardrobe 
Lab Website  |  PubMed


Raj BhatnagarRaj Bhatnagar, PhD

Professor, Electrical Engineering and Computer Systems.  The main focus of Dr. Bhatnagar's research has been on data mining and pattern recognition problems. More recent studies have developed data mining algorithms for very large and distributed database problems and have applied these algorithms to many application domains including the bioinformatics area. Recent projects include subspace clustering and formal concept analysis for very large datasets, which seeks to develop efficient algorithms on hadoop, using map-reduce paradigm, for mining multi-domain subspace clusters from multiple datasets; mutual K-means clustering algorithms for density-based clusters, and content-based retrieval of images from large spatio-temporal image databases. 
Lab Website  |  Publications


Mark EckmanMark Eckman, MD

Professor, Internal Medicine. Dr. Eckman is a general internist and decision scientist. His research interests lie in combining both clinical and theoretic applications of decision analysis to the care of individual patients and to broader issues of health policy. In particular his methodological interests have included the development of patient-specific decision support tools, cost-effectiveness analysis, and the continued study and development of new decision analytic methods. He uses quantitative methods to help make decisions about the allocation of increasingly scarce health care resources. He also has a long-standing interest in decision analytic issues surrounding anticoagulation therapy within a variety of clinical situations, including atrial fibrillation, venous thromboembolism, and thrombophilic states.
Google Scholar  |  ResearchGate  |  PubMed


UntitledTesfaye B. Mersha, PhD

Associate Professor, Asthma Research. Dr. Mersha's research combines quantitative, ancestry and statistical genomics approaches to unravel genetic and non-genetic contributions to complex diseases and racial disparities in human population, particularly asthma and asthma-related allergic disorders. Current research in his laboratory include: 1) admixture and association analysis; 2)transcriptome profiling studies; 3)  microbiome/epigenome analysis, and 4) developing web-based bioinformatics tools specifically designed to integrate omics from public databases (e.g., 1000 Genomes Project, ENCODE and Epigenome Roadmap). Dr. Mersha's long-term career goals are to develop a program that will lead to an in-depth understanding of the complex interplay between genomic variations and environmental exposure risk factors in the etiology of complex diseases, including asthma.
Lab Website  |  PubMed


Marepalli RaoMarepalli Rao, PhD

Professor, Environmental Health and Biomedical Engineering. Dr. Rao’s research interests include Biostatistics; Statistical Genetics; Survival Analysis; Internet Health Data; Data Mining; Machine Learning; Tissue Engineering; Medical Imaging; and Data Science.
PubMed


Daniel SchauerDaniel P. Schauer, MD, MSc

Associate Professor, Internal Medicine. Dr. Schauer has expertise in the decision sciences, patient-centered outcomes and comparative effectiveness research. Much of his current research is focused on obesity and outcomes associated with bariatric surgery. He is the Principal Investigator on a grant funded by the National Cancer Institute that is examining the relationship between obesity, cancer and intentional weight loss. He has experience using many of the large publicly available datasets including the National Health Interview Survey that is linked to the National Death Index and the Nationwide Inpatient Sample in his research. He has also collaborated with the HMO Research Network using their data sources. Additionally, as associate program director for resident research, he oversees all of the resident research in the Department of Internal Medicine.
Publications  |  ResearchGate