Iavor Bojinov

Iavor Bojinov

Departmental TF in Statistics
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Iavor is a final year Ph.D. candidate in the Statistics Department at Harvard under the supervision of Natesh Pillai, Donald Rubin, and Neil Shephard. His primary research focus is on diagnostic tools in Missing Data and Causal Inference on time series and networks. During his time at Harvard, he has been fortunate enough to have taught courses in the Statistics Department covering every level, from Stat 98 (a seminar for Statistics concentrators to develop their own research projects and improve their statistical communication) all the way up to Stat 314 (a Ph.D. level reading group that I helped create and co-taught for two years).

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