Lata Balakrishnan is an Associate Professor of Biology. Her current research interest is focused on understanding the mechanistic reactions of eukaryotic lagging strand DNA synthesis, and the accompanying DNA repair processes. Her lab combines three powerful tools; biochemistry, chromatin biology and genetics to understand the DNA replication and repair process.

Nicholas Berbari is an Associate Professor of Biology, Neuroscience. His current research work focuses on the roles of small hair-like cellular appendages called cilia, particularly interested in their roles in the brain. He is currently trying to determine how cilia can affect appetite and satiety by utilizing conditional and congenital knockout mouse models, tissue culture, pharmacology, and electrophysiology to address this question.

Brian Dixon is an adjunct Associate professor of Health Informatics and an Associate professor in the Department of Epidemiology, Richard M. Fairbanks School of Public Health. Dr. Brian Dixon’s research focuses on applying informatics methods and tools to improve population and public health. His work leverages clinical and administrative data in electronic health records to measure population health, better understand the determinants of health, examine information flow in the health system, and improve outcomes in individuals and populations.

Prof. Shaun is a Professor of Medical Informatics at Regenstrief and Professor of Family Medicine. He also serves as an adjunct professor at School of Public Health and School of Informatics and Computing. His research is focused on improving discovery and decision support by developing, testing, and implementing innovative approaches for data integration, patient matching, predictive modeling and other novel data science use cases, including developing novel population health data frameworks supporting fusion of community and social determinants of health with clinical data, as well as leveraging machine learning-based models to improve discovery and decision support in a variety of contexts.

Kun Huang is the Chair of Department of Biostatistics and Health Data Science. He is a professor of Medicine. Also, he works as adjunct professor of Epidemiology, School of Public Health and at School of Informatics and Computing, School of Computer Science. In addition to this he is titled Associate Director for Data Science, IU Simon Comprehensive Cancer Center. His research interests lie in translational bioinformatics, computational pathology, medical imaging, computational biology, integrative genomics tools for precision health, computer vision, and machine learning. He is focused on translating informatics tools to improve clinical practice and accelerate scientific discovery and believes the Precision Health Initiative is an unprecedented opportunity to accomplish just that.

Sarath Chandra Janga leads a team of researchers who seek to identify the molecular players at different scales that interfere with the normal functioning of cellular networks in humans and other model organisms. Professor Janga’s research integrates computational and experimental multi-omic approaches to study complex and heterogeneous data sources in biomedical sciences, with the goal of understanding how the regulation, structure and dynamics of biological systems shape the phenotypic landscape of an organism and its relevance to disease conditions. His interdisciplinary research team in collaboration with clinical and translational scientists, examines these questions using cutting edge next generation sequencing technologies and data science frameworks to develop novel bioinformatics algorithms to understand how RNA interactions, structures and their cross talk with various cellular entities in cell lines and animal models can be employed for dissecting complex phenotypes in liver, brain, kidney and immune diseases.

Babar A. Khan is an Associate professor of Medicine and Research Scientist at Regenstrief Institute, Inc and Indiana University Center for Aging Research. He is a patient oriented-translational/clinical researcher with a principal focus on developing a biomarker profile among delirious patients in the intensive care unit to predict their long term cognitive, physical, and psychological morbidity. In addition, he directs the “Critical Care Recovery Center – CCRC,” located at Eskenazi Health Services. 

Bohdan Khomtchouk is Assistant Professor of Bioinformatics and Data Science in the Department of BioHealth Informatics at Indiana University’s Luddy School of Informatics, Computing, and Engineering in Indianapolis. Dr. Khomtchouk’s research group is pioneering the field of cardioinformatics, working at the nexus of bioinformatics and precision cardiology. Its researchers are working toward integrating computational biology and AI/machine learning-based approaches to illuminate novel cardio-(vascular/renal/metabolic) biology and enable new therapeutics.

Yunlong Liu is the Director of Center for Computational Biology & Bioinformatics and Center for Medical Genomics. He is a professor of Medical & Molecular Genetics and Biostatistics and adjunct professor of Medicine and at School of Informatics and Computing. The Liu Laboratory (Laboratory for Computational Genomics) uses systems biology approaches to understand regulatory mechanisms of gene expression, including transcriptional regulation, post-transcriptional regulation, and epigenetic regulation.

James A. Marrs is a Professor, Director of Graduate Studies. His research areas include Cell Biology, Developmental Biology and Developmental Neurobiology. His work involves zebrafish to model fetal alcohol syndrome. His studies are focused on understanding which genes are critical for producing the birth defects among the myriad of gene expression changes induced by ethanol exposure.

Samy Meroueh is a Professor of Biochemistry & Molecular Biology. His research activity primarily focuses on using three-dimensional structure of proteins targets to design small molecules that modulate their function. Current work focuses on the following classes of targets: urokinase-type plasminogen activator system, serine/threonine kinases, aldehyde dehydrogenases, and voltage-gated calcium channels.

Andrew D. Miller is an Assistant professor of Human-Computer Interaction. He studies how social computing technology can empower people to help each other with their health and wellness. His research areas of interest include, social computing technology, social support for health and wellness, pervasive technologies and connecting in-patient, clinical, home and school environments. Miller is a member of the ACM Conference on Human Factors in Computing Systems.

Amber L. Mosley is a Professor of Biochemistry & Molecular Biology and Medical & Molecular Genetics. Her research is focused on the regulation of RNA Polymerase II elongation and termination using systems level approaches including next-generation sequencing and protein mass spectrometry.

Kwangsik Nho is an Associate professor of Radiology and Imaging Sciences and Adjunct Associate professor at School of Informatics and Computing. His research expertise is in the areas of bioinformatics, imaging informatics, and medical informatics. In particular, he has become interested in bringing together bio-, medical, and imaging informatics methodologies in an integrated manner to study the genetic etiology of complex diseases such as Alzheimer's disease.

Saptarshi Purkayastha is an Associate Professor of Health Informatics and Data Science at the Luddy School of Informatics, Computing, and Engineering. He is working on projects in radiological information systems, biomedical data analysis, electronic medical records, and mobile and population health. Dr. Purkayastha is investigating methods for improving engagement in online education, by using guided inquiry learning in the study of health information management. He’s also assisting with a project that’s utilizing virtual reality technology to improve health care delivery for newborns in low- and middle-income nations. On behalf of the World Health Organization, Dr. Purkayastha has served as a consultant to ministries of health in the South-East Asia Region for the implementation of health information systems. Countries that were part of this project included Bangladesh, Nepal, Bhutan, and North Korea.

Sara K. Quinney is an Associate Professor of Obstetrics & Gynecology, Associate Professor of Medicine, Adjunct Associate Professor of Health Informatics, School of Informatics and Computing and Director, Disease and Therapeutic Response Modeling Program. Her research spans a large range of pharmacometric and big data applications, including physiologically based pharmacokinetic modeling, text mining, and machine learning approaches. She is involved in several collaborative research endeavors, including the MODEL-AD preclinical trial core and projects in oncology and opioid use disorder.

Khairi Reda is an Assistant professor of Data Science and Human-Computer Interaction. Khairi Reda designs, develops, and evaluates perceptual data interfaces to help people see and interact with data. His research aims to uncover technological and human factors that shape people’s ability to consume and make sense of digital information. He is particularly interested in the application of data visualization to catalyze scientific discovery, and collaborates frequently with experts from a variety of disciplines to develop new visualization techniques for scientific data.

Randall Roper is an Associate Professor of Biology and Adjunct Associate Professor of Biomedical Engineering. His research seeks to understand the genetic and developmental bases of phenotypes related to Trisomy 21 or Down syndrome (DS). Using mouse models of Down syndrome, his work provided the first experimental evidence that trisomy adversely affects neural crest cells, precursors to the craniofacial skeleton. Currently involved in performing preclinical studies to test treatments for specific DS traits by targeting gene products that are overexpressed because of trisomy.

Titus Schleyer is Professor of Medicine. He also works as Clem McDonald Professor of Biomedical Informatics. Dr. Titus Schleyer has been active in biomedical informatics research since 1989, conducting seminal research on electronic dental records and Internet applications, and workflow and human-computer interaction in dentistry.

Thankam Thyvalikakath is a Professor at the Indiana University School of Dentistry and an Associate Dean for Dental Informatics and Digital Health. Dr. Thyvalikakath’s research focuses on leveraging electronic health record data for clinical research and quality improvement purposes; applying user-centered design and cognitive engineering methods to design clinical systems that better support clinicians’ decision-making processes; implementation and evaluation of clinical decision support systems; and facilitating health information exchange to promote coordinated care between medical and dental care providers.

Brian Walker is a Daniel and Lori Efroymson Professor of Oncology, Professor of Medicine, Professor of Medical & Molecular Genetics and Adjunct Professor, Bio Health Informatics. His research is focused on the genomics and epigenetics of multiple myeloma (MM) and related plasma cell dyscrasias. Dr. Walker is interested in the structure of the myeloma genome, from single nucleotide mutations to large structural events, such as translocations, and how these affect patients' prognoses.

Juexin Wang is Assistant Professor of Bioinformatics at the Luddy School of Informatics, Computing, and Engineering in Indianapolis. Dr. Wang has a long-standing interest in studying machine learning algorithms, tool development, and data analysis in bioinformatics. His academic training and research experience have provided him with an excellent background in multiple disciplines, including computer science, statistics, and computational biology. He currently is developing methods to model single-cell and spatial transcriptomics data, and data analysis in kidney diseases, cancer, and nervous system diseases. Some presentative works are published in Nature Communications and Bioinformatics.

Jingwen Yan is an Assistant professor of Bioinformatics. Jingwen Yan’s work is focused on integrating data sources to extract knowledge that can lead to better understanding of complex diseases, neurological conditions, and dementias, such as Alzheimer’s disease. Her research focuses on exploring genotype-phenotype associations by developing efficient and scalable computational and bioinformatics approaches. Specifically, Yan is interested in the combination of machine learning and network science such that rich biological knowledge can be properly incorporated to guide the learning.

Chi Zhang is an Assistant Professor of Medical & Molecular Genetics. His interests are centered around independent research in computational modeling of disease microenvironment, cell type specific activity and transcriptional regulation, and computational algorithm development, and collaborative research in identification of biological characteristics related to disease progression and drug resistance.

Jie Zhang is an Assistant Professor of Medical & Molecular Genetics, Adjunct Assistant Professor of Biostatistics & Health Data Science, Adjunct Assistant Professor, School of Informatics & Computing and Assistant Professor in Center for Computational Biology and Bioinformatics. Her research is focused on developing and applying translational bioinformatics and system biology methods to identify disease genes, pathways, and biomarkers with applications in cancers, neurological diseases, and other types of diseases.