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Breakfast Club Seminar Series - NEW Two-Speaker Format!

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NEW TWO-SPEAKER FORMAT for 2019-2020!

Presenting at 8:30 AM:

Nicoleta Serban, Ph.D.
Professor
H. Milton Stewart School of Industrial and Systems Engineering
Georgia Tech

"Health Analytics: From Data to Decision Making"

RESEARCH
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.

BIO
Nicoleta Serban is Virginia C. and Joseph C. Mello Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. Dr. Serban's education and research trajectory makes her unique in the pursuit of data-driven discovery endeavors. Her research record is quite diverse, from mathematical statistics to modeling to data analysis to statistical learning, with recent contributions on drawing principled inferences on healthcare delivery and health policy. She has also been involved in broad impact research activities; the most noteworthy is the leadership of the Health Analytics initiative (http://www.healthanalytics.gatech.edu). This is a collaborative effort anchored in partnership with a varied network of clinicians, healthcare providers, and public health entities. To date, she has published more than 55 journal articles, and a collaborative (with Dr. William B. Rouse) book titled Understanding and Managing the Complexity of Healthcare published by MIT Press and single-authored book titled Healthcare System Access: Measurement, Inference and Intervention published by Wiley.  She is the editor for physical sciences, engineering, and the environment for the Annals of Applied Statistics Journal. She has reviewed for multiple funding agencies and she has served in multiple workshops and meetings organized by the National Academies.


Presenting at 9:00 AM:

Jeffrey Skolnick, Ph.D.
Professor, Mary and Maisie Gibson Chair
Director, Center for the Study of Systems Biology
Georgia Research Alliance Eminent Scholar in Computational Systems Biology
Georgia Tech

"The Possible Origin of the Biochemical Function of Proteins and its Implications for the Origin of Life"

RESEARCH
Computational Systems Biology & Bioinformatics including the development of algorithms and their application to proteomes for the prediction of protein structure and function, the prediction of small molecule ligand-protein interactions with applications to drug discovery and the prediction of off-target uses of existing drugs, fundamental studies on the nature and completeness of protein structure space and the exploration of the interplay between protein physics and evolution in determining protein structure and function, prediction of protein-protein and protein-DNA interactions, cancer metabolomics and molecular simulations of cellular processes.

Status

  • Workflow Status:Published
  • Created By:Colly Mitchell
  • Created:06/12/2019
  • Modified By:Colly Mitchell
  • Modified:01/23/2020

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