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@@ -313,14 +313,12 @@ https://github.com/DarwinAwardWinner
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Summary
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\end_layout
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-\begin_layout Itemize
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-Accomplished, experienced computational biologist with deep knowledge of
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- biology, mathematics, statistics, and programming
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+\begin_layout Standard
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\begin_inset Note Note
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-status collapsed
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+status open
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\begin_layout Plain Layout
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-Underplays math/stats knowledge?
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+Seeking what kind of job?
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\end_layout
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\end_inset
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@@ -328,16 +326,21 @@ Underplays math/stats knowledge?
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\end_layout
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+\begin_layout Itemize
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+Accomplished, experienced computational biologist with deep knowledge of
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+ biology, mathematics, statistics, and programming.
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+\end_layout
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+
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\begin_layout Itemize
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11 years of bioinformatics experience answering a wide range of complex
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biological questions through analysis of large NGS- and microarray-based
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- whole transcriptome and epigenetic data sets
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+ whole transcriptome and epigenetic data sets.
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\end_layout
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\begin_layout Itemize
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-Strong focus on sound statistical analysis, effective data visualization
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- and communication, and making expert knowledge and successful analysis
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- methods available as re-usable software tools
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+Focus on sound statistical analysis, effective data visualization and communicat
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+ion, and making expert knowledge and successful analysis methods available
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+ as re-usable software tools.
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\begin_inset Note Note
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status collapsed
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@@ -351,8 +354,8 @@ Work in machine learning?
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\end_layout
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\begin_layout Itemize
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-Supportive team member with a strong ability to foster cross-disciplinary
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- literacy by explaining concepts at the right level of abstraction
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+Supportive team member and experienced mentor with a strong ability to help
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+ others connect biological, statistical, and computational understanding.
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\end_layout
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\begin_layout Section
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@@ -557,9 +560,13 @@ Lacking impact statement.
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\begin_layout Itemize
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Created an open source, reproducible workflow to analyze a large multi-omics
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next-gen sequencing dataset of 220 RNA-seq and ChIP-seq samples to reveal
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- interactions between differential histone methylation and differential
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- gene expression during T-cell activation, as well as key differences in
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- activation between naïve and memory cells
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+ coordinated changes in histone marks and gene expression during CD4
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+\begin_inset Formula $^{+}$
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+\end_inset
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+
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+ T-cell activation as well as epigenetic convergence between naive and memory
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+ cells after activation.
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+
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\begin_inset CommandInset citation
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LatexCommand cite
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key "LaMere2017,LaMere2016,Thompson2019a"
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