Nicoleta Serban is the Peterson Professor of Pediatric Research in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.

Dr. Serban's most recent research focuses on model-based data mining for functional data, spatio-temporal data with applications to industrial economics with a focus on service distribution and nonparametric statistical methods motivated by recent applications from proteomics and genomics. 

She received her B.S. in Mathematics and an M.S. in Theoretical Statistics and Stochastic Processes from the University of Bucharest. She went on to earn her Ph.D. in Statistics at Carnegie Mellon University.

Dr. 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.

Joe Lachance is an Assistant Professor in the School of Biological Sciences at Georgia Institute of Technology and a member of the Cell and Molecular Biology Research Program at Winship Cancer Institute.

Lachance received his Ph.D. in Genetics from Stony Brook University in Stony Brook, New York. He conducted his postdoctoral studies as a NIH Kirschstein postdoctoral fellow at the University of Pennsylvania.

Lachance's research is in the areas of human evolutionary genomics, population genetics, and health disparities. His lab integrates large genome-scale datasets with evolutionary theory and computer simulations. They have found evidence of ancient introgression in Africa, inferred that the leading edge of the out-of-Africa migration involved an excess of males, discovered that genetic risks of cancer have decreased over evolutionary time, and identified novel targets of positive selection.

Pinar Keskinocak is the H. Milton and Carolyn J. Stewart School Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. She is also co-founder and director of the Center for Health and Humanitarian Systems. Previously, she served as the College of Engineering ADVANCE Professor and as interim associate dean for faculty development and scholarship. Prior to joining Georgia Tech, she worked at IBM T.J. Watson Research Center. She received her Ph.D. in Operations Research from Carnegie Mellon University, and her M.S. and B.S. in Industrial Engineering from Bilkent University.

Keskinocak's research focuses on the applications of operations research and management science with societal impact, particularly health and humanitarian applications, supply chain management, and logistics/transportation. Her recent work has addressed infectious disease modeling (including Covid-19, malaria, Guinea worm, pandemic flu), evaluating intervention strategies, and resource allocation; catch-up scheduling for vaccinations; hospital operations management; disaster preparedness and response (e.g., prepositioning inventory); debris management; centralized and decentralized price and lead time decisions. She has worked on projects with companies, governmental and non-governmental organizations, and healthcare providers, including American Red Cross, CARE, Carter Center, CDC, Children’s Healthcare of Atlanta, Emory University, and Intel Corporation.

She is an INFORMS Fellow and currently serves as the president of INFORMS. Previously she served as the Secretary of INFORMS, a department editor for Operations Research (Policy Modeling and Public Sector area), associate editor for Manufacturing & Service Operations Management, and INFORMS Vice President of Membership and Professional Recognition. She is the co-founder and past-president of INFORMS Section on Public Programs, Service, and Needs, and the president of the INFORMS Health Applications Society.

Saumya Jain is an Assistant Professor in the School of Biological Sciences. He received a B.Tech and an M.Tech in Biochemical Engineering and Biotechnology from the Indian Institute of Technology, Delhi and a Ph.D. in Molecular and Cellular Biology from the University of Arizona. He conducted postdoctoral work at the University of California, Los Angeles as a Helen Hay Whitney Fellow in the lab of Dr. Larry Zipursky. His research focuses on the regulation of gene expression in developing nervous systems across space and time.

Animal brains consist of a vast number of neurons (~100 billion in humans, ~100 million in mice), and thousands of neuron-types. These neurons generated at different times and locations in the developing brain come together in precise ways to form specific connections (~100 trillion connections in the human brain). Even subtle defects in wiring are associated with conditions such as autism, schizophrenia and epilepsy. How does biology ensure the assembly of such a complex structure? A key piece of this puzzle is ensuring that the right set of genes are expressed at the right time and in the right place. The Jain lab is trying to address the following questions: 1) How are the timing and cell-type specificity of gene expression controlled in developing neurons to ensure proper circuit formation? 2) How are these mechanisms perturbed in neurodevelopmental disorders? To address these questions, the lab applies single-cell genomics, genetics and molecular biology approaches in the developing mouse and fruit fly visual systems.

Itamar Kolvin received his B.Sc. (2007) in Physics and Mathematics and his M.Sc. (2009) from the Hebrew University in Jerusalem. In 2017, he completed his Ph.D. in Physics under Prof. Jay Fineberg in the Hebrew University. He was a HFSP cross-disciplinary postdoctoral fellow in the Physics Department, University of California, Santa Barbara with Pro. Zvonimir Dogic. His research interests are in the fundamentals of soft matter out-of-equilibrium: assembly, deformation, flow and fracture. Current efforts make use of model systems that are assembled of protein machineries to investigate active and adaptive material mechanics.