Dr. Kirchner interests include applied biostatistics, causal inference using observational data, sleep apnea children’s health, M.tb screening in high burden areas, healthcare utilization, and clinical/pragmatic trials.

Dr. Bartoli is a cardiac surgeon-scientist with special interests in surgical management of congenital and acquired heart disease, development and clinical implantation of artificial circulatory support devices, von Willebrand factor biology and angiogenesis. Dr. Bartoli attended Cornell University, Harvard University and the University of Louisville School of Medicine (combined MD/PhD pathway). He completed an integrated cardiothoracic surgery residency at the Hospital of the University of Pennsylvania and a pediatric cardiac surgery fellowship at the Children’s Hospital of Philadelphia. Dr. Bartoli also manages an internationally recognized translational biophysics laboratory that’s independently funded with support from the NIH and multiple industry partners. Ongoing projects include left ventricular assist device (LVAD) design and development, mechanisms of LVAD-associated bleeding and thrombosis, novel LVAD therapies and abnormal angiogenesis in children with single ventricle disease. Advancing the field of cardiovascular medicine and training MD/PhD physician-scientists are major goals of the laboratory. Dr. Bartoli has won numerous national and international scientific awards that include the 2020 American College of Cardiology Doug Zipes Distinguished Investigator Award “for contributions to cardiovascular medicine and significant body of work.” He has published more than 75 peer-reviewed articles in biomedical journals and given more than 65 talks at international locations.

Dr. Haggerty is an alumnus of the Pennsylvania State University Biomedical Engineering Department and the Penn State Schreyer Honors College. He completed his PhD at the Georgia Institute of Technology, also in Biomedical Engineering, where his dissertation focused on the cardiovascular fluid mechanics associated with surgical repairs for complex congenital heart diseases. He subsequently completed a Post-doctoral Fellowship in Cardiovascular Imaging at the University of Kentucky. Currently, Dr. Haggerty is an Assistant Professor in the Department of Translational Data Science and Informatics at the Geisinger, where he co-directs the Cardiac Imaging and Technology Lab. His primary research interests include using cardiac mechanics to better understand heart disease, integrating advanced cardiac imaging and genetics to study inherited cardiomyopathies, and improving outcomes for patients with congenital heart disease.

Broadly, I am interested in how innate motivation or homeostatic drives change activity in the brain and subsequently alter attention and perception. Within the clinical realm, I would like to understand how altered social motivation is encoded in neural signals and how differences in neural structure and connectivity manifest in atypical social cognition. My interest in autism stems from my undergaduate research experience at the University of Michigan. While there, I used histological and MRI techniques to study microanatomical structure and cortical organization in Autism Spectrum Disorder (ASD). While in graduate school in Neuroscience at the University of Pennsylvania School of Medicine, my thesis work examined the Social Motivation Hypothesis of Autism, namely how the typical brain manages to pay more attention to people than anything else in the environment.

Dr. Hall received his PhD in biomedical informatics from the University of Utah. He is passionate about convening and leading data-driven research that enables innovation in clinical practice and population health management. He is particularly interested in the integration and novel analyses of health data sets including electronic health records, vital records, genomics data and community measures representing social determinants that inform treatments and improve outcomes. His research has focused on supporting vulnerable perinatal populations including infants born preterm as well as those who have neonatal opioid withdrawal syndrome. 

Dr. Romagnoli completed her secondary education at the University of Pittsburgh: a bachelor’s degree in molecular biology, a master’s in library and information sciences, and a master’s and PhD from the Department of Biomedical Informatics in the School of Medicine. Her research focuses on using human-centered design research and methodologies to inform the design and implementation of clinical informatics tools. After her PhD, she worked at UPMC Health Plan as a manager of design research, using human-centered design research to inform digital products for health plan members and stakeholders. She is now an assistant professor in the Department of Translational Data Science and Informatics. Her primary research interests are using human-centered design and mixed methods research to identify areas of opportunity for innovation in clinical care, focusing on genomic medicine and pharmacy. 

Eric received his Bachelor’s degree in Biomedical Engineering from the University of Utah, and his PhD in Bioengineering from the University of California San Diego (UCSD). His PhD dissertation focused on the mechanical effects of spatially heterogeneous structural remodeling in diseases of the left ventricle. Eric has brought his expertise in cardiac MRI to Geisinger to enhance cardiac imaging techniques, improve dynamic image reconstruction using machine learning, and study the effects of genetic variants on heart function.

Linyuan grew up in China where she attended Shandong University for her Bachelor’s degree in Biomedical Engineering. She then came to the United States to pursue a Ph.D. in Biomedical Engineering at University of Kentucky, where she focused in electrophysiology and studied both computational and experimental models to further our understanding of arrythmias and action potential morphologies in the heart. She joined Dr. Brandon Fornwalt’s Lab in 2013 as a Postdoctoral Fellow to utilize cardiac magnetic resonance imaging and advanced image processing techniques to study cardiovascular diseases. She moved to Geisinger in 2015 with Dr. Fornwalt, and is currently working as a Math & Computational Scientist. 

Alvaro Ulloa, PhD is a Computational Scientist at Geisinger, and a PhD candidate in computer engineering from The University of New Mexico. His research background is built on optimization theory and its applications to multimodal data mining, including the development of methods such as Independent component analysis, deep learning, and computational scheduling for throughput optimization.

Dr. Winters received her bachelor’s degree in biology from Reed College. She completed her PhD in human genetics at the University of Maryland, Baltimore, where her dissertation focused on the genetics of Type 2 diabetes and glycemic traits. She then completed a postdoctoral fellowship at Johns Hopkins University, studying the genetic contributions to peanut allergy. She came to Geisinger in 2022 to continue her work using genetic association methods to better understand complex disease. 

Prior to joining Geisinger, Mr. Radin was a staff researcher for the U.S. Department of Veterans Affairs and Stanford University.  He was also the founder and CEO of ignitus.io, a clinical AI startup venture. Before pursuing his own startup, he worked for Lumiata, a Khosla-backed venture, and Privia Health, a Goldman Sachs-backed venture. Prior to that, he worked at Kaiser Permanente Corporate Headquarters in one of their main data analytics workgroups. After graduate school, his first role was as a research analyst for the Health 2.0 Group (now a HIMSS Company), working on covering digital health investments for the Office of National Coordinator for Health Information Technology (ONC) at HHS, venture capital and private equity firms, and philanthropic foundations.  He holds a master's degree from George Washington University and a bachelor's degree from the University of Virginia. 

Dr. Hamza received his secondary education from Al-Azhar University, Egypt: a bachelor’s degree in mathematics and computer science and a master’s and PhD in computer science (bioinformatics) from the Department of Mathematics in the Faculty of Science. His earlier research focused on discovering patterns in biological (nucleotide or protein) sequences to better understand the structure and function of the molecules the sequences represent. Prior to joining Geisinger, he was a postdoctoral researcher at Qatar Computing Research Institute (QCRI), Qatar. His research at QCRI targeted Big Data-related challenges in biological and biomedical domains. Currently, his research as a data scientist at Geisinger focuses on leveraging longitudinal clinical data and state-of-the-art machine learning algorithms for uncovering the relationships between temporal changes in the risk factors and the targeted health outcome. 

Christopher grew up in Danville, Pennsylvania and attended the State University of New York (SUNY) at Cobleskill where he completed his Bachelors of Technology degree.  After graduation, he gained knowledge of clinical workflows by working in both Phlebotomy and Central Sterile Supply before transitioning to clinical research. Past research work includes recruitment of Geisinger Vascular Surgery patients with Abdominal Aortic Aneurysms (AAA), and Peripheral Arterial Disease (PAD). Focusing on whole blood and tissue processing, as well as potential role of DNA methylation in AAA’s.  Currently he is a Research Project Coordinator for the Department of Translational Data Science and Informatics at Geisinger Medical Center in Danville, Pa, focusing on Cardiovascular Function and advancements in clinical applications in pediatrics, adolescents, and adults using Magnetic Resonance Imaging (MRI).

David is a Northeast Pennsylvania native. He received his Bachelor's degree in physics with a minor in Mathematics from Pennsylvania State University, where he completed an honors thesis on dynamical systems models of neural networks. He then worked as a research assistant at McLean Hospital for 3 years, using complex neural networks to study the relationship between possible phenotypes and biomarkers in Schizophrenia, before attending Carnegie Mellon University. Here, he continued this work using simpler dynamical systems and with a focus on working memory. He graduated with a Master's degree in Neural Computation and decided to use his experience in research computing to improve software and other resources for researchers. Currently, he works with the Clinical Imaging Database (CIDB) to provided de-identified images for researchers across Geisinger and develops computer programs to better manage and analyze data in the Imaging core. 

Jeff grew up in Mifflinburg, Pa., and attended the Pennsylvania State University for his bachelor of science and Bloomsburg University for his master of science degrees. After graduation, he gained knowledge of clinical workflows and the cardiovascular space by working as an exercise physiologist before transitioning into clinical research. Most of Jeff’s research has focused on the cardiovascular space, which aligns with his personal interests and clinical background. Jeff is a research development manager for the Department of Translational Data Science and Informatics at Geisinger Medical Center in Danville. In this role, he leads operations and research and development for several internal and external collaborations.

Kyle grew up in Bloomsburg, Pa., and attended Bloomsburg University for his bachelor of science in business administration, majoring in information and technology management. Kyle is a full-stack developer who’s proficient in several coding languages. He’s an application developer for the Department of Translational Data Science and Informatics at Geisinger Medical Center in Danville. His work has focused on front-end and back-end applications that have led to innovative solutions for our team and Geisinger Research as a whole.