Bio

I am an Assistant Professor in the Division of Biostatistics at the Dalla Lana School of Public Health at the University of Toronto.

My research has focused on developing statistical methods to analyze correlated data and to remove biases that emerge from informative cluster size, study design, missing data, or misclassification in multilevel observational studies and complex surveys. I have collaborated with researchers from various disciplines including oncology, nephrology, anesthesiology, and oral health.

If you are a student and interested in working with me, please contact me by email at aya.mitani(at)utoronto.ca.


Education and Training

  • Postdoc, Harvard T. H. Chan School of Public Health
  • PhD, Biostatistics, Boston University
  • MPH, Biostatistics, Yale University
  • BA, Mathematics, Pitzer College


Health Data Working Group

In 2021, I co-founded the Health Data Working Group, an interdisciplinary working group with faculty, students, postdocs from various divisions at the DLSPH. We organize monthly workshops on data science topics. Materials from the past workshops are available here.

Aya Mitani


Bio

I am an Assistant Professor in the Division of Biostatistics at the Dalla Lana School of Public Health at the University of Toronto.

My research has focused on developing statistical methods to analyze correlated data and to remove biases that emerge from informative cluster size, study design, missing data, or misclassification in multilevel observational studies and complex surveys. I have collaborated with researchers from various disciplines including oncology, nephrology, anesthesiology, and oral health.

If you are a student and interested in working with me, please contact me by email at aya.mitani(at)utoronto.ca.


Education and Training

  • Postdoc, Harvard T. H. Chan School of Public Health
  • PhD, Biostatistics, Boston University
  • MPH, Biostatistics, Yale University
  • BA, Mathematics, Pitzer College


Health Data Working Group

In 2021, I co-founded the Health Data Working Group, an interdisciplinary working group with faculty, students, postdocs from various divisions at the DLSPH. We organize monthly workshops on data science topics. Materials from the past workshops are available here.