diff --git a/tex/thesis.tex b/tex/thesis.tex
index 4415035..9f4778b 100644
--- a/tex/thesis.tex
+++ b/tex/thesis.tex
@@ -572,23 +572,23 @@ approved T cell expansion technologies involve \acd{3} and \acd{28} \glspl{mab},
 usually mounted on magnetic beads. This method fails to recapitulate many key
 signals found \invivo{} and is also heavily licensed by a few companies,
 limiting its long-term usefulness to manufactures and clinicians. Furthermore,
-highly potent anti-tumor T cells are generally less-differentiated subtypes such
-as \acrlongpl{tcm} and \acrlongpl{tscm}. Despite this understanding, little has
-been done to optimize T cell expansion for generating these subtypes, including
-measurement and feedback control strategies that are necessary for any modern
-manufacturing process.
+highly potent, anti-tumor T cells are generally less-differentiated subtypes
+such as \acrlongpl{tcm} and \acrlongpl{tscm}. Despite this understanding, little
+has been done to optimize T cell expansion for generating these subtypes,
+including measurement and feedback control strategies that are necessary for any
+modern manufacturing process.
 
 The goal of this dissertation was to develop a microcarrier-based \gls{dms} T
 cell expansion system and determine biologically-meaningful \glspl{cqa} and
 \glspl{cpp} that could be used to optimize for highly-potent T cells. In
 \cref{aim1}, we develop and characterized the \gls{dms} system, including
-quality control steps. We also demonstrate the feasiblity of expanding
+quality control steps. We also demonstrate the feasibility of expanding
 high-quality T cells. In \cref{aim2a,aim2b}, we use \gls{doe} methodology to
-optimize the \gls{dms} platform, and develop a computational pipeline to
-identify and model the effect of measurable \glspl{cqa}, and \glspl{cpp} on the
+optimize the \gls{dms} platform, and we develop a computational pipeline to
+identify and model the effects of measurable \glspl{cqa} and \glspl{cpp} on the
 final product. In \cref{aim3}, we demonstrate the effectiveness of the \gls{dms}
 platform \invivo{}. This thesis lays the groundwork for a novel T cell expansion
-method which can be utilized at scale for a clinical trial and beyond.
+method which can be utilized at scale for clinical trials and beyond.
 
 \clearpage