Scientific & Technical Core
The HPC is working to promote NICHD-PDB scientific mission in Demography, Population Health, and Reproductive Health, with its emphasis on top-notch scientific merit and interdisciplinary collaboration by establishing the Scientific & Technical Core (STC).
Launched in mid-April 2017, the goal of the STC is to promote and provide guidance on a wide range of innovative methodologies for population and reproductive health research. The STC provides HPC Faculty Associates systematic guidance and mentoring services to enhance our Faculty Associates’ ongoing and proposed substantive research projects.
A co-directorship leads the coordination of STC’s activities.
- Lingxin Hao , Director of HPC, a sociologist who has extensive experience in interdisciplinary research on social demographic and population health issues with colleagues in different schools within Hopkins and between different institutions, using cutting-edge methodologies.
- Stephane Helleringer, a social demographer with successful interdisciplinary collaborations in research on developing new methods to measure demographic trends in countries with limited vital registration and measuring the effects of social networks on health.
The STC has two branches.
The Population-based Models and Methods branch
Lead: Dr. Mei-Cheng Wang , a renowned Biostatistician who has developed numerous new models and methods for truncation, length-bias and prevalent sampling, and life course analysis and has served as principal investigator for multiple NIH R01 grants and Biostatistics Cores of large-scale program projects to develop statistical methods for longitudinal and survival data in health-related studies.
Member: Dr. Elizabeth Ogburn, a biostatistician with expertise in the foundations of causal inference for new settings and complex data, network analysis, and environmental health.
The Computational Systems Science and Data Science branch
Lead: Dr. Tak Igusa, an engineering professor with joint appointments in International Health and Applied Mathematics and Statistics, with a strong track record in collaborative efforts in applying system science methods to public health research, including an NICHD-funded pediatric obesity center.