In her position as Research Scientist for CUSP’s Data Facility, Chia works with the engineering team in the development of a model approach to building next-generation research facilities. She also works with the Data Facility management team to develop an organization-wide metadata storage architecture and metadata discovery tools.
Chia is an accomplished data scientist with expertise in research design, problem identification, econometrics, machine learning and programming. Prior to joining CUSP, Chia was a Data Analysis Consultant for RHM International in Boston where she developed road maps and evaluation models to improve supply chain and operational efficiencies. From 2009-2015, Chia was a Postdoc Fellow and Research Assistant at Carnegie Mellon University where she addressed the impact of offshoring on firm innovation in optoelectronics by building regression models.
Chia has a Ph.D. and M.Sc. in Engineering & Public Policy from Carnegie Mellon University. She also has a M.Sc. and B.Sc. in Computer Science from National Tsing Hua University in Taiwan. In addition to her advanced educational background, Chia has published a number of articles and conference papers on subjects ranging from dormant IP licensing opportunities to the impact of technology trajectories on global firms. She has won numerous awards, including a prestigious study abroad scholarship from the Ministry of Education in Taiwan.