Irene Vidyanti is a Data Scientist/Systems Modeler for the Los Angeles County Department of Public Health (LACDPH). She is also affiliated with the University of Southern California (USC)'s Schaeffer Center for Health Policy and Economics (as a Collaborating Programmer) and RAND (as an Adjunct Researcher). Her expertise lies in using systems science and data science to evaluate the impact of interventions on health and other sectors and to aid in operations, policy planning, and decision-making. She led the development of the Future Los Angeles Model (FLAM), a dynamic microsimulation model of long-term health and economic outcomes for Los Angeles County residents age 25+, which was used to evaluate an array of intervention efforts, such as the impact of sodium reduction initiatives or increased tobacco tax. Additionally, she is leading a participatory modeling project to develop a systems science model of the cross-sector impact of permanently housing the homeless in Los Angeles County. She has also led several data science efforts in LACDPH, including using predictive analytics to prioritize restaurant inspections to stave off violations as well as designing dashboards to present restaurant inspection data to the public.

She received her Ph.D. in Industrial and Systems Engineering from University of Southern California and her Bachelor's and Master's degrees in Information and Computer Engineering from Cambridge University. Her previous research has included the development of a simulation model to evaluate the cost-benefit of various diabetic retinopathy screening strategies and in the design and evaluation of a technology-assisted depression screening and monitoring tool among diabetic patients in safety-net clinics in Los Angeles County.

Authored by Irene Vidyanti, Ph.D.