NEW TWO-SPEAKER FORMAT for 2019-2020!
Nicoleta Serban, Ph.D.
H. Milton Stewart School of Industrial and Systems Engineering
Nicoleta Serban's research interests on Health Analytics span various dimensions including large-scale data representation with a focus on processing patient-level health information into data features dictated by various considerations, such as data-generation process and data sparsity; machine learning and statistical modeling to acquire knowledge from a compilation of health-related datasets with a focus on geographic and temporal variations; and integration of statistical estimates into informed decision making in healthcare delivery and into managing the complexity of the healthcare system.
Nicoleta Serban's education and research trajectory makes her unique in the pursuit of data-driven discovery endeavors. While trained as a mathematician at the most prestigious university in Romania, she pursued a doctoral degree in Statistics at Carnegie Mellon University. Her doctoral research focused on fundamental statistical methods with application to genomics and protein structure determination. After graduation, she changed fields to take a tenure-track position in an engineering school at Georgia Institute of Technology. While at Georgia Tech, she has been engaged in challenging engineering-focused research spanning multiple fields, including enterprise transformation, degradation modeling and monitoring, and healthcare among others. In 2010, she was granted the NSF CAREER award for research in service equity and access. Her research record is quite diverse, from mathematical statistics to modeling to data analysis to qualitative insights on causality and complexity. To date, she has published more than 25 journal articles, and a collaborative (with Dr. William B. Rouse) book published by MIT Press. The book title is Understanding and Managing the Complexity of Healthcare. She is an Area Editor for physical sciences, engineering, and the environment for Annals of Applied Statistics and she was invited reviewer for more than 75 papers. She has reviewed for multiple funding agency and she has served in various workshops organized by the National Academy of Engineering.
Jeffrey Skolnick, Ph.D.
Professor, Mary and Maisie Gibson Chair
Director, Center for the Study of Systems Biology
Georgia Research Alliance Eminent Schol in Computational Systems Biology
- Systems Biology, Computational Biology, and Bioinformatics
- Cancer Metabolomics
- Prediction of protein tertiary and quaternary structure and folding pathways
- Prediction of membrane protein tertiary structure
- Prediction of DNA-binding proteins
- Protein Evolution
- Prediction of small molecule ligands for drug discovery
- Prediction of druggable protein targets
- Drug Design
- Automatic assignment of enzymes to metabolic pathways
- Simulation of Virtual Cells