Selena Wang, PhD
Assistant Professor of Biostatistics & Health Data Sciences
- selewang@iu.edu
- Phone
- 317-278-5506
- Address
-
HITS 3071
410 W. 10th Street
Indianapolis, IN
Bio
I am a tenure track Assistant Professor in the Department of Biostatistics and Health Data Science, Indiana University School of Medicine. My primary research interest is to develop scalable statistical and computational approaches for high-dimensional biomedical data with a focus on network science, high dimensional data analysis, neuroimaging, data integration and statistical machine learning. I have extensive experience in developing MRI analytic methods, Bayesian inference and latent space network models incorporating biological, psychological and medical information. I also have extensive experience in translational research and have been providing support on study design and statistical analyses to investigate psychiatric outcomes, mental disorders, aging, Alzheimer’s disease, etc. See more details via website.
(2024) I am looking for highly motivated students with background in biostatistics, computational neuroscience, quantitative psychology, or computer science to join my lab! See more here.
Key Publications
See Google Scholar.
Year | Degree | Institution |
---|---|---|
2024 | Postdoctoral Training | Yale University |
2022 | PhD | The Ohio State University |
2019 | MS | The Ohio State University |
2019 | MA | The Ohio State University |
2017 | BS | University of Minnesota |
Network science is interdisciplinary. Focusing on improving current analytical strategies, I try to absorb influences of other disciplines to inform and improve understandings about human behaviors with applications in neuroscience, psychiatry, psychology and others. Broadly speaking, I model real-world networks with statistically sound principles and methods—reduce network complexity, perform intuitive visualization and test critical hypotheses with improved statistical power and controlled type I errors. I am particularly interested in the topological structures of networks and the roles they play in neurodegeneration, neurodevelopment and resilience.
Psychiatric outcomes, Mental disorders, Aging, Alzheimer’s disease, Developmental psychopathology and disorders