HARP-BIO Faculty Mentors & Instructors
Faculty members from the Colorado Center for Personalized Medicine and the Division of Pulmonary and Critical Care Sciences will be available to mentors.
| Name of Mentor | Faculty Title | Research Interest |
| Abman, Steven MD | Professor | Acute respiratory distress, pulmonary hypertension, and neonatal lung diseases |
| Albers, David, PhD | Associate Professor | Data assimilation of clinician and patient collected data to forecast physiology and compute new phenotypes, health care process modeling and analysis, mechanistic physiologic models using clinical data, visualizing patient health evolution in an intensive care setting, deconvolving present in clinical data, with a special focus on impact of gender. |
| Bennett, Tell, MD | Associate Professor | Critical care decision making, high-dimensional prediction modeling, electronic health records data, and clinical decision support tool implementation |
| Bowler, Russell P., MD, PhD | Professor | Chronic Obstructive Pulmonary Disease (COPD) |
| DeCamp, Matthew, MD, PhD* | Associate Professor | Bioethics, research ethics and bias in artificial intelligence |
| Downey, Gregory, MD | Professor | Innate immunity, lung injury, and inflammation |
| Dwork, Nicholas, PhD | Assistant Professor | Application of mathematical optimization algorithms to medical image reconstruction, image quantitation, radiation treatment planning, and inexpensive medical devices. Instructor in machine learning and artificial health intelligence, including sources of bias. |
| Flores, Sonia C., PhD* | Professor | HIV viral protein-pulmonary endothelial cell interactions and viral disease pathogenesis |
| Gignoux, Christopher, Ph.D. | Associate Professor | The interface of statistical and population genetics to improve our understanding of complex traits |
| Holguin, Fernando, MD | Professor | Metabolomics approaches for asthma studies |
| Hunter, Lawrence, PhD | Professor | Developing computational tools and methods to solve problems from AI and machine learning |
| Johnson, Randi, PhD* | Assistant Professor | Leveraging high-dimensional -omics data (metabolomics, genetics, DNA methylation, gene expression) to elucidate factors contributing to immune and autoimmune disease development and progression |
| Julian, Colleen, PhD* | Associate Professor | Vascular disorders of pregnancy, developmental programming of pulmonary hypertension |
| Krishnan, Arjun, PhD | Associate Professor | Develop computational tools to enable biomedical researches to effectively reuse massive collections of publicly-available data — e.g., omics, knowledgebases, unstructured text, genetic associations — to gain nuanced insights into the molecular mechanisms underlying heterogeneous traits and disease. Instructor in machine learning and health artificial intelligence, including sources of bias. |
| Kudron, Elizabeth, MD, MPH, FAAP | Assistant Professor | As a member of the Clinical Operations team for the Colorado Center for Personalized Medicine, she has built systems that integrate personalized medicine into the clinical setting. She has developed extensive curriculum for clinician education and also serves as program co-director with Dr. Yang for the graduate Certificate in Personalized and Genomic Medicine |
| Lange, Ethan, PhD* | Professor | Identification of genetic and genomic risk factors for complex disease in under-studied populations |
| Lange, Leslie, PhD* | Professor | Genetic epidemiology, statistical genetics and classical biostatistics |
| Munoz-Torres, Monica, PhD | Associate Professor | Her expertise spans genomics, biocuration, knowledge representation, and data harmonization - and the development of software tools to advance these fields. Dr. Munoz-Torres has a particular focus on diversity, equity and inclusion in her research program |
| Norman, Paul, PhD | Associate Professor | His group has developed computational methods to study autoimmune and neurological disease, preeclampsia and leukemia and population genetics |
| Nozik, Eva, MD | Professor | T0-T1, oxidative stress, multiomics approaches to study pulmonary vascular disease |
| Schwartz, David A., MD | Professor and Chair of Medicine | Idiopathic Pulmonary Fibrosis ; Effects of microbiome on the innate immune system |
| Sharma, Sunita, MD | Associate Professor | Understanding asthma susceptibility and disease severity using gene expression and epigenetics |
| Stanislawski, Maggie, PhD | Assistant Professor | Her current research falls under two overarching themes: 1) understanding how the relationship between omic profiles and cardiometabolic disease varies across diverse populations, particularly the contribution of demographic and environmental factors, and 2) evaluating omic profiles, singularly and in conjunction, in the context of interventions |
| Strong, Michael, PhD | Associate Professor | Whole genome sequencing, targeted gene sequencing, transcriptome profiling, protein modeling, and network analysis |
| Sucharov, Carmen, PhD | Professor | Molecular mechanisms of pediatric heart failure |
| Taylor, Matt, MD, PhD | Professor | Hereditary cardiomyopathies, Rare Genetic Diseases, Gene Therapies, Whole Genome Sequencing, Cardiac Transcriptomics |
| Thessen, Anne, PhD | Associate Professor | Her group focuses on semantic technology to link information about the genome, phenome, and exposome |
| Torres, Raul M., PhD | Professor | Inflammation regulation of adaptive immunity by T and B lymphocytes |
| Van Dyk, Linda, PhD | Professor | Viral pneumonia and immune mechanisms of protection |
| Vladar, Eszter, PhD | Assistant Professor | How multiciliated cells in the lung adopt their cell fate, build cilia, and orient the cilia for directional mobility during normal development, regeneration, and in human disease |
| Way, Gregory, PhD | Assistant Professor | Developing cell morphology as a high-dimensional indicator of cell state through the re-analysis of large microscopy imaging datasets, and discovering disease vulnerabilities through the re-analysis of large microscopy imaging datasets, and discovering disease vulnerabilities through high-throughput measurements of CRISPR and drug perturbations on biologically relevant cell models |
| Weiser-Evans, Mary, PhD | Professor | Defining the molecular signaling mechanisms regulating SMC and vascular stem cell function in the setting of vascular fibroproliferative diseases |
| Yang, Ivana, PhD* | Professor | Using multiomic profiles and functional genomics to study pathogenesis of lung disease |
Pride Instructors SI: 1 and 2
| Name of Instructor | Faculty Title | |
| Brooks, Ian PhD | Associate Professor | Electronic Health Records Data |
| Katrina Claw, PhD | Associate Professor | Ethical Implications of Genetic Research |
| Dwork, Nicholas, PhD | Assistant Professor | Artificial Intelligence - Machine Learning |
| Hendricks, Audrey, PhD | Associate Professor | Biostatistics |
| Kemp, Jennifer, PhD | Associate Professor | Grant Writing |
| Konigsberg, Lain, PhD | Research Instructor | DNA methylation preprocessing/differential testing |
| Krishnan, Arjun, PhD | Associate Professor | Health Artificial Intelligence and Machine Learning |
| Mandt, Bruce, PhD | Assistant Dean, Graduate School | Career Development and Mentorship |
| Phang, Tzu, PhD | Associate Professor | Hands on exploration of transcriptome data |
| Reisdorph, Nichole, PhD | Associate Professor | Metabolome and Proteome |
| Reisdorph, Richard, PhD | Associate Professor | Hands on Exploration of metabolome data |
| Sticca, Evan | PhD Student | Mandelian disease and cancer genome NGS analysis |
This is a program supported by NHLBI and hosted on campus but not a University program.