Owais Gilani

Owais Gilani

Associate Professor of Mathematics
Spatial/Spatiotemporal Statistics
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About Owais Gilani


  • Postdoctoral Fellow, University of Michigan School of Public Health: Biostatistics; Environmental Health Sciences
  • Yale University, Ph.D. in Biostatistics
  • Middlebury College, B.A. in Mathematics and International Studies

Faculty Research Interests

My research program encompasses three areas: methodological research in spatial/spatiotemporal statistical methods and modeling human mobility using cellular network data; applied environmental health research including air pollution modeling and maternal/child health outcomes; and applied general public health research.

Recent and Representative Publications

Batterman, S.A., Berrocal, V.J., Milando, C., Gilani, O., Arunachalam, S., Zhang, K.M. (2020) Enhancing models and measurements of traffic-related air pollutants for health studies using dispersion modeling and Bayesian data fusion. Research Reports: Health Effects Institute, 2020, 202.

Gilani, O., Urbanek, S., & Kane, M. A. (2020) Distribution of human exposure to ozone during commuting hours in Connecticut using the cellular device network. Journal of Agricultural, Biological, and Environmental Statistics 25, 54-73. DOI: 10.1007/s13253-019-00378-y

Gilani, O., Berrocal, V.J., & Batterman, S.A. (2019) Nonstationary spatiotemporal Bayesian data fusion for pollutants in the near-road environment. Environmetrics, 30(7) e2581. DOI:10.1002/env.2581

Gilani, O., McKay, L. A., Gregoire, T. G., Guan, Y., Leaderer, B. P., & Holford, T. R. (2016). Spatiotemporal calibration and resolution refinement of output from deterministic models. Statistics in medicine, 35(14), 2422-2440. DOI: 10.1002/sim.6867

Kayingo, G., Gilani, O., Kidd, V. D., & Warner, M. L. (2016). Patient-Centered Medical Home Exposure and its Impact on PA Career Intentions. Family medicine, 48(9), 725-730.

Gilani, O., Berrocal, V. J., & Batterman, S. A. (2016). Non-stationary spatio-temporal modeling of traffic-related pollutants in near-road environments. Spatial and spatio-temporal epidemiology, 18, 24-37. DOI: 10.1016/j.sste.2016.03.003


National Science Foundation (Award Number: 2024233; Project Period: 09/01/2020 – 08/31/2024) - “Data Resources and Analytic Tools to Understand Population Scale Human Mobility for Applications in SBE Research”

Courses Taught

  • Math 216: Statistics I
  • Math 217: Statistics II
  • Math 304: Statistical Inference Theory
  • Math 405: Statistical Modeling
  • Math 407: Statistical Designs of Scientific Studies

Further Information

Contact Details


362 Olin Science Building