fix broken bibtex entry; update nsh bio

book.bib

@@ -1279,7 +1279,7 @@ @manual{SuperLearner
 }
 
 @manual{coyle-cran-origami,
-  title = {{\texttt{origami}}: Generalized framework for cross-validation}
+  title = {{\texttt{origami}}: Generalized framework for cross-validation},
   author = {Coyle, Jeremy R and Hejazi, Nima S and Malenica, Ivana and
     Phillips, Rachael V},
   note = {\texttt{R} package version 1.0.5},

index.Rmd

@@ -124,19 +124,21 @@ of Alan Hubbard.
 
 ### Nima Hejazi {-}
 
-[Nima Hejazi](https://nimahejazi.org) is Assistant Professor of Biostatistics at
-the [Harvard T.H. Chan School of Public
+[Nima Hejazi](https://nimahejazi.org) is an Assistant Professor of Biostatistics
+at the [Harvard T.H. Chan School of Public
 Health](https://www.hsph.harvard.edu/biostatistics/). He obtained his PhD in
-Biostatistics at UC Berkeley working with Mark van der Laan and Alan Hubbard,
+Biostatistics at UC Berkeley, working with Mark van der Laan and Alan Hubbard,
 and held an NSF Mathematical Sciences Postdoctoral Research Fellowship
 afterwards. Nima's research interests blend causal inference, machine learning,
-non/semi-parametric inference, and computational statistics; areas of recent
-emphasis have included nonparametric causal mediation analysis, efficient
-estimation under biased sampling designs, and sieve estimation with machine
-learning. His methodological work is motivated principally by scientific
-collaborations in clinical trials, infectious disease epidemiology, and
-computational biology. Nima is also passionate about statistical computing and
-open source software design for statistical data science.
+non- and semi-parametric inference, and computational statistics, with areas of
+recent emphasis having included causal mediation analysis; efficient estimation
+under biased, outcome-dependent sampling designs; and sieve estimation for
+causal machine learning. His methodological work is motivated principally by
+scientific collaborations in clinical trials and observational studies of
+infectious diseases, in infectious disease epidemiology, and in computational
+biology. Nima is also passionate about high-performance statistical computing
+and open source software design for applied statistics and statistical data
+science.
 
 ### Ivana Malenica {-}