Constantin Aliferis, MD, MS, PhD, FACMI
Chief Research Informatics Officer
Dr. Constantin Aliferis serves as CTSI’s Chief Research Informatics Officer and as Director for the Institute for Health Informatics (IHI). Dr. Aliferis leads CTSI’s Biomedical Informatics Program (BMIP), where he oversees the Best Practices Informatics Core (BPIC), a consulting and collaborative science core created to generate and link datasets on-demand, architect systems, perform sophisticated modeling and analysis, and assemble multidisciplinary teams to meet researcher needs.
Dr. Aliferis’ research is focused on high dimensional modeling and analysis designed to transform biomedical data into novel actionable scientific knowledge. His three key areas of broad interest are:
- Use of advanced informatics and analytics to accelerate and enhance the sophistication, volume, quality and reproducibility of scientific research
- Precision medicine
- Quality and cost improvements of healthcare using Big Data approaches
Over the last 25 years Dr. Aliferis has invented and applied methods that include: automated protocols and automodeling systems for complex data analytics, Markov Boundary induction, Causal Graph based discovery and modeling, high dimensional feature selection, Support Vector Machines, multi-modal omics analysis, multiplicity modeling, clinical predictive modeling, scientometrics and evidence-driven information retrieval.
Between 2008 and 2015 he served as the Founding Director of the Center for Health Informatics and Bioinformatics (CHIBI) at NYU Langone Medical Center (NYULMC). At NYU he led the CTSI Informatics program since 2008 and the Informatics core of the NYU Cancer Institute since 2011. He also served as Scientific Director of the Best Practices Integrative Informatics Consulting Core, and Scientific Director of the NYULMC High Performance Computing Facility. He was also the Founding Director of both the Vanderbilt and NYU PhD Training Programs in Biomedical Informatics. At NYU and Vanderbilt, Dr. Aliferis had appointments in Informatics, Pathology, Computational Biology, Cancer Biology, Computer Science, Biostatistics and Data Science.