tailor resume to bayer

diff --git a/dla-resume.org b/dla-resume.org
index 752fe5cc3e03bf1c4d786f4f92a5a50df6105f53..21bfcd8f649e6e1ec6219d2e805809b2a856233e 100644 (file)
--- a/dla-resume.org
+++ b/dla-resume.org
@@ -7,7 +7,7 @@
 #+LATEX_CLASS_OPTIONS: [10pt,breaklinks]
 
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-\begin{minipage}[t]{0.4\textwidth}
+\begin{minipage}[t]{0.45\textwidth}
   \begin{minipage}[c][0.6in]{2.3in}
   {\color{headings}\fontsize{24pt}{24pt}\selectfont {\textsc{\textbf{\myauthor}}}}
   {\footnotesize
@@ -38,35 +38,39 @@
 + *PhD* in Cell, Molecular and Developmental Biology
 + *BS* in Biology
 * Skills
-** Genomics and Epigenomics
-+ *NGS* and array-based Genomics and Epigenomics of complex human
-  diseases using *RNA-seq*, targeted DNA sequencing, *RRBS*, Illumina
-  bead arrays, and Affymetrix microarrays from sample collection to
-  publication.
+** Biostatistics
++ Experimental design and biostatistical analyses to optimize
+  discovery in the face of multiple testing, confounders, and batch
+  effects using Bayesian and frequentist methods in *R*
++ Genomics and Epigenomics of complex phenotypes using *RNA-seq*, DNA
+  sequencing, *RRBS*, bead arrays, and microarrays
 + Reproducible, scalable bioinformatics analysis using make,
   *nextflow*, and *cwl* based workflows on cloud- and cluster-based
   systems on terabyte-scale datasets
 + Alignment, annotation, and variant calling using existing and custom
-  software, including *GATK*, *bwa*, *STAR*, and *kallisto*.
-+ Correcting for and experimental design to overcome multiple
-  testing, confounders, and batch effects using Bayesian and
-  frequentist methods approaches
-# + Using evolutionary genomics to identify causal human variants
-** Statistics
-+ Statistical modeling (regression, inference, prediction, and
-  learning in very large (> 1TB) datasets)
-+ Addressing confounders and batch effects
+  software
++ Design, development, and deployment of algorithms and data-driven
+  products, including APIs, reports, and interactive web applications
++ Statistical modeling (regression, inference, prediction/forecasting,
+  time series, and machine learning in very large (> 1TB) datasets)
++ Data mining, cleaning, processing and quality assurance of data
+  sources and products using tidydata formalisms
++ Visualization using *R*, ggplot, Shiny, and custom written routines.
 # + Reproducible research
 ** Big Data
 + Parallel and Cloud Computing (slurm, torque, AWS, OpenStack, Azure)
 + Inter-process communication: MPI, OpenMP
 + Filestorage: Gluster, CEFS, GPFS, Lustre
 + Linux system administration
+** Communication and Training
++ Strong written communication skills as evidenced by publication
+  record
++ Strong verbal and presentation skills as evidenced by presentation
+  and teaching record
 ** Mentoring and Leadership
 + Mentored graduate students and Outreachy and Google Summer of Code
   interns
 + Former chair of Debian's Technical Committee
-+ Head developer behind https://bugs.debian.org
 ** Software Development
 + Languages: perl, R, C, C++, python, groovy, sh, make
 + Collaborative Development: git, travis, continuous integration,
@@ -75,11 +79,6 @@
 + Databases: Postgresql (PL/SQL), SQLite, Mysql, NoSQL
 + Office Software: Gnumeric, Libreoffice, \LaTeX, Word, Excel,
   Powerpoint
-** Communication
-+ Strong written communication skills as evidenced by publication
-  record
-+ Strong verbal and presentation skills as evidenced by presentation
-  and teaching record
 # ** Consortia Involvement
 # + *H3A Bionet*: Generating workflows and cloud resources for H3 Africa
 # + *Psychiatric Genomics Consortium*: Identification of epigenetic
@@ -94,7 +93,7 @@
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-\begin{minipage}[t]{0.55\textwidth}
+\begin{minipage}[t]{0.5\textwidth}
 
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 * Experience
@@ -126,9 +125,6 @@
 * Publications and Presentations
 + 24 peer-reviewed publications cited over 1800 times:
   https://dla2.us/pubs
-+ Publication record in GWAS, expression analysis of microarrays, SLE,
-  GBM, epigenetics, comparative evolution of mammals, and lipid
-  membranes
 + H index of 11
 + Multiple presentations on EWAS of PTSD, genetics of SLE, and Open
   Source: https://dla2.us/pres