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---
name: Jaron
surname: Arbet, Ph.D.
position: "Assistant Research Professor - Biostatistician"
address: "City of Hope - Beckman Research Institute - Department of Population Sciences"
www: jarbet.github.io
email: "jaron.arbet@gmail.com"
#to get the orcid: 0000-0001-6087-0428
googlescholar: hbqQUw0AAAAJ
github: jarbet
headcolor: 414141 # use black color
date: "`r format(Sys.time(), '%B %Y')`"
csl: apa-cv.csl # change this if you want to use other citation styles
output:
vitae::awesomecv:
keep_tex: true
pandoc_args: ["--lua-filter=lua/strong.lua"]
number_sections: false
header-includes:
- \usepackage{hyperref}
- \usepackage{fontawesome5}
---
\makeatletter
\renewenvironment{cventries}{%
% Remove the original \vspace{\acvSectionContentTopSkip} for tight spacing
% Define a list environment for clean indentation
\list{}{%
\setlength{\leftmargin}{5.5mm} % Your desired left indent
\setlength{\rightmargin}{0pt} % Optional: Add a right margin here if needed
\setlength{\parsep}{0pt}
\setlength{\topsep}{0pt}
\setlength{\itemsep}{0pt}
\setlength{\itemindent}{0pt}
}
\item\relax % Start the first item
}{%
\endlist
}
\makeatother
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE, warning = FALSE, message = FALSE)
library(vitae)
library(tibble)
library(RefManageR)
#rmarkdown::pandoc_version()
# rmarkdown::render("cv.Rmd")
```
# \faBookReader \text{ Research Interests}
* Machine learning and predictive modeling
* High-dimensional “Big Data”
* Variable selection
* Multi-omics cancer data integration
* Robust nonparametric statistics
# \faBriefcase \text{ Work Experience}
```{r}
tribble(
~Year ,
~Name ,
~Institution ,
~Notes ,
'Dec 2025 - Present' ,
'Assistant Research Professor - Biostatistician' ,
'City of Hope - Beckman Research Institute - Department of Population Sciences, Duarte, CA' ,
list('Studying the impact of exercise on risk of cancer diagnosis, and for improving health outcomes in cancer patients.', 'Analysis of cancer molecular data: whole genome sequencing, RNA-Seq, DNA methylation, proteomics.\\newline \\hspace{1cm} \\newline') ,
'April 2022 - Nov 2025' ,
'Senior Bioinformatician' ,
'Jonsson Comprehensive Cancer Center, University of California Los Angeles, CA' ,
list('Analysis of cancer molecular data: whole genome sequencing, RNA-Seq, DNA methylation, proteomics', 'Biomarker identification: among thousands of molecular features, which are most associated with cancer outcomes?', 'Daily git/github use for version control and collaboration', 'Supervised machine learning for predicting cancer prognosis', 'Unsupervised machine learning for deriving cancer subtypes', 'Supervising undegraduate and graduate students on projects', 'Develop open-source R packages for sharing software with broader scientific community', 'Create statistical analysis plans and power/sample size estimation for grants\\newline \\hspace{1cm} \\newline') ,
'Jan 2021 - April 2022' ,
'Staff Biostatistician' ,
'Edwards Lifesciences, Irvine, CA' ,
list('Develop statistical analysis plans and data monitoring for clinical trials', 'Power and sample size estimation', 'Clinical study reports for federal regulatory agencies', 'Perform analyses with large national database (STS/ACC TVT Registry) including propensity score matching for causal inference\\newline \\hspace{1cm} \\newline') ,
'Aug 2018 - Jan 2021' ,
'Postdoctoral Research Associate' ,
'University of Colorado Anschutz Medical Campus, Department of Biostatistics and Informatics, Aurora, CO' ,
list('Provided statistical consulting services', 'Published scientific manuscripts', 'Developed grants (statistical analysis plan, power/sample size estimation)', 'Supervised students and MS/MPH degree biostatisticians', 'Taught BIOS 6601 Intro stats course for 75 MPH students, and created annual 6-week data science machine learning short course', 'Develop new statistical methodology\\newline \\hspace{1cm} \\newline') ,
'June 2014 - July 2018' ,
'Research Assistant' ,
'University of Minnesota, Division of Biostatistics, Minneapolis, MN' ,
list('Developed variable selection methods for high dimensional genetic data and robust methods for estimating the genetic heritability of disease traits\\newline \\hspace{1cm} \\newline') ,
'June - Aug 2013' ,
'Statistical Genetics Research Intern' ,
'Dordt College, Department of Mathematics, Sioux Center, IA ' ,
list('Developed methods for aggregating different statistical tests together for greater sensitivity in detecting disease-related genes; resampling-based bias corrected tests\\newline \\hspace{1cm} \\newline') ,
'Sept 2012 - May 2014' ,
'Math and Statistics Tutor' ,
'Winona State University, Winona, MN' ,
NULL
) %>%
detailed_entries(
where = Year,
with = Name,
what = Institution,
why = Notes,
.protect = FALSE
)
```
\newpage
# \faGraduationCap \text{ Education}
```{r}
tribble(
~Degree ,
~Advisor ,
~Year ,
~Institution ,
~Where ,
"PhD Biostatistics" ,
"GPA: 3.7\\newline \\hspace{1cm} \\newline" ,
"2014-2018" ,
"University of Minnesota" ,
"Minneapolis, MN, USA" ,
"B.S. Mathematics and Statistics" ,
"GPA: 4.0 | \\textit{Summa Cum Laude}" ,
"2010-2014" ,
"Winona State University" ,
"Winona, MN, USA"
) %>%
detailed_entries(
what = Degree,
when = Year,
with = Institution,
where = Where,
why = Advisor,
.protect = FALSE
)
```
<!--
# \faBook \text{ Manscripts submitted for review}
-->
```{r}
#| eval: false
bibliography_entries("submitted.bib")
```
# \faBook \text{ Peer-reviewed Publications}
```{r}
bibliography_entries("jaron_published_orcid.bib")
```
\newpage
# \faAward \text{ Awards}
## \faSquare \ \ \text{Postdoctoral}
```{r}
tribble(
~Year ,
~Name ,
~Institution ,
~Supp ,
~Amount ,
'2023-2024' ,
'Staff appreciation and recognition (STAR)' ,
'UCLA Jonsson Comprehensive Cancer Center' ,
NA ,
NA ,
'2022-2023' ,
'Staff appreciation and recognition (STAR)' ,
'UCLA Jonsson Comprehensive Cancer Center' ,
NA ,
NA ,
) %>%
detailed_entries(
where = Year,
with = Name,
what = Institution,
why = Supp,
when = Amount
)
```
## \faSquare \ \ \text{Student Awards}
```{r}
tribble(
~Year ,
~Name ,
~Institution ,
~Supp ,
~Amount ,
'2017-2018' ,
'Outstanding Research Assistant Award' ,
'University of Minnesota, Division of Biostatistics & Health Data Science' ,
NA ,
NA ,
'2015-2017' ,
'Interdisciplinary Biostatistics Training Grant in Genetics and Genomics' ,
'National Institute of General Medical Sciences' ,
NA ,
NA ,
) %>%
detailed_entries(
where = Year,
with = Name,
what = Institution,
why = Supp,
when = Amount
)
```
## \faSquare \ \ \text{Competitions}
```{r}
tribble(
~Year , ~Name , ~Institution , ~Supp , ~Amount ,
'2014' , 'Midwest Undergraduate Data Analysis Competition (MUDAC)' , 'School of Education, University of Michigan' , '3\\textsuperscript{rd} place out of 20 teams from 14 universities\\newline \\hspace{1cm} \\newline' , NA ,
'2014' , '1st place in the “predictive-modeling class competition”' , 'Winona State University Data Mining Course' , NA , NA ,
'2013' , 'Midwest Undergraduate Data Analysis Competition (MUDAC)' , 'School of Education, University of Michigan' , '2\\textsuperscript{nd} place out of 15 teams from 10 universities\\newline \\hspace{1cm} \\newline' , NA ,
) %>%
detailed_entries(
where = Year,
with = Name,
what = Institution,
why = Supp,
when = Amount,
.protect = FALSE
)
```
# \faChartBar \text{ Presentations}
## \faSquare \ \ \text{Invited Guest Speaker}
```{r}
tribble(
~Year , ~Name , ~Location , ~Notes ,
'2025' ,
'The Landscape of Prostate Tumour Methylation' ,
'Prostate Cancer Foundation Precision Medicine Working Group, Virtual Meeting' ,
list('\\url{https://www.biorxiv.org/content/10.1101/2025.02.07.637178v3}\\newline \\hspace{1cm} \\newline')
) %>%
detailed_entries(
with = Name,
what = Location,
why = Notes,
when = Year,
.protect = FALSE
)
```
## \faSquare \ \ \text{Departmental}
```{r}
tribble(
~Year , ~Name , ~Location , ~Notes ,
'2025' ,
'Mendelian Randomization Causal inference in Observational Studies' ,
'Statistics Working Group, Cancer Data Sciences, University of California, Los Angeles, CA' ,
list('\\url{https://jarbet.github.io/presentation-mendelian-randomization/}\\newline \\hspace{1cm} \\newline') ,
'2025' ,
'Batch effects: problem and solution' ,
'Boutros Lab, Cancer Data Sciences, University of California, Los Angeles, CA' ,
list('\\url{https://jarbet.github.io/presentations/2025-05-08_batch_effects_nowhite.pdf}\\newline \\hspace{1cm} \\newline') ,
'2025' ,
'p-value histograms' ,
'Boutros Lab, Cancer Data Sciences, University of California, Los Angeles, CA' ,
list('\\url{https://jarbet.github.io/presentation-pvalue-histograms/}\\newline \\hspace{1cm} \\newline') ,
'2024' ,
'Robust regression for noisy biological data' ,
'Statistics Working Group, Cancer Data Sciences, University of California, Los Angeles, CA' ,
list('\\url{https://jarbet.github.io/presentation-ordinal-regression/ordinal_regression.html}\\newline \\hspace{1cm} \\newline') ,
'2024' ,
'Linear regression diagnostics' ,
'Boutros Lab, Cancer Data Sciences, University of California, Los Angeles, CA' ,
list('\\url{https://jarbet.github.io/presentation-regression-diagnostics/regression_diagnostics.html}\\newline \\hspace{1cm} \\newline') ,
'2024' ,
'Causal inference with observational data using propensity score matching' ,
'Statistics Working Group, Cancer Data Sciences, University of California, Los Angeles, CA' ,
list('\\url{https://jarbet.github.io/presentation-causal-inference-matching/causal_inference_matching.html}\\newline \\hspace{1cm} \\newline') ,
'2023' ,
'Automatic feature selection and engineering with MARS' ,
'Statistics Working Group, Cancer Data Sciences, University of California, Los Angeles, CA' ,
list('\\url{https://jarbet.github.io/presentation-mars.github.io/presentation-mars.html}\\newline \\hspace{1cm} \\newline') ,
'2022' ,
'Introduction to Bayesian statistics' ,
'Boutros Lab, Cancer Data Sciences, University of California, Los Angeles, CA' ,
list('\\url{https://jarbet.github.io/presentations/2022-08-25_Bayesian_stats.pdf}\\newline \\hspace{1cm} \\newline') ,
'2021' ,
'Multiomics cancer data analysis' ,
'Boutros Lab, Cancer Data Sciences, University of California, Los Angeles, CA' ,
list('\\url{https://jarbet.github.io/presentations/2021-11-21_multiomics_cancer.pdf}\\newline \\hspace{1cm} \\newline') ,
'2021' ,
'Interpretable machine learning' ,
'Center for Innovative Design and Analysis, University of Colorado, Denver, CO' ,
list('\\url{https://jarbet.github.io/presentations/2020-01-21_interpretable_machine_learning.pdf}\\newline \\hspace{1cm} \\newline') ,
'2021' ,
'Differential Network Analysis of Gene Modules' ,
'Systems Genetics and Bioinformatics Research Lab, University of Colorado, Denver, CO' ,
NULL ,
'2018' ,
'Frequentist versus Bayesian Approaches to Statistics: A Debate' ,
'Department of Biostatistics and Informatics, University of Colorado, Denver, CO' ,
NULL ,
'2017' ,
'Robust Estimation of Genetic and Environmental Variance Components in Twin Studies' ,
'University of Minnesota Biostatistics Student Seminar Series, Minneapolis, MN' ,
NULL ,
'2016' ,
'A General framework for Association Tests with Multivariate Traits in Large-Scale Genomics Studies' ,
'University of Minnesota Statistical Genetics Journal Club, Minneapolis, MN' ,
NULL ,
'2016' ,
'Methods of Inference for Penalized Regression in High-Dimensional Genetic Association Studies' ,
'School of Public Health Research Day, University of Minnesota, Minneapolis, MN' ,
NULL ,
'2016' ,
'Penalized Regression for High-Dimensional Genetic Association Testing' ,
'University of Minnesota Statistical Genetics Journal Club, Minneapolis, MN' ,
NULL
) %>%
detailed_entries(
with = Name,
what = Location,
why = Notes,
when = Year,
.protect = FALSE
)
```
## \faSquare \ \ \text{Conferences}
```{r}
tribble(
~Year , ~Name , ~Location , ~Notes , ~Type ,
'2025' ,
'The Landscape of Prostate Tumour Methylation' ,
'UCLA Health Jonsson Comprehensive Cancer Center Annual Symposium, Los Angeles, CA' ,
NULL ,
'Poster' ,
'2024' ,
'Methylome-Genome Interactions Define Disease Aggression in Localized Prostate Cancer' ,
'RECOMB/ISCB Conference on Regulatory and Systems Genomics, Los Angeles, CA' ,
NULL ,
'Poster' ,
'2022' ,
'Triplet matching: propensity score matching with 3 groups' ,
'14th Annual FDA/AdvaMed Medical Device Statistical Issues Conference (Virtual)' ,
list('\\url{https://jarbet.github.io/presentations/20220422_triplet_matching.pdf}\\newline \\hspace{1cm} \\newline') ,
'Talk' ,
'2022' ,
'Statistical Considerations and Methods to Utilize Real World Evidence in Medical Device Evaluation' ,
'14th Annual FDA/AdvaMed Medical Device Statistical Issues Conference (Virtual)' ,
NULL ,
'Panel Co-organizer' ,
'2017' ,
'Robust Estimation of Genetic and Environmental Variance Components in Twin Studies using Generalized Estimating Equations' ,
'Joint Statistical Meetings (JSM), Baltimore, MD' ,
NULL ,
'Poster' ,
'2016' ,
'Methods of Inference for Penalized Regression in High-Dimensional Genetic Association Studies' ,
'Eastern North American Region International Biometric Society (ENAR), Austin, TX' ,
NULL ,
'Poster' ,
'2013' ,
'What now? Post-Hoc Approaches for Gene-based Rare-Variant Tests of Association' ,
'American Society of Human Genetics Conference (ASHG), Boston, MA' ,
NULL ,
'Poster' ,
'2013' ,
'General Approaches for Combining Rare Variant Association Tests Provide Improved Power Across a Wide Range of Genetic Architectures' ,
'American Society of Human Genetics Conference (ASHG), Boston, MA' ,
NULL ,
'Poster'
) %>%
detailed_entries(
with = Name,
what = Location,
why = Notes,
when = Year,
where = Type,
.protect = FALSE
)
```
\newpage
# \faChalkboardTeacher \text{ Teaching Experience}
## \faSquare \ \ \text{Semester courses}
```{r}
tribble(
~Year ,
~Name ,
~Duty ,
~Desc ,
'Fall 2019' ,
"BIOS 6601 – Applied Biostatistics I" ,
"University of Colorado Anschutz Medical Campus" ,
list("\\textbf{\\textit{Duty}}: Sole Instructor, completely redesigned all lectures, homework, quizzes, and exams", "\\textbf{\\textit{Description}}: Applied biostatistical methods including descriptive and statistical inference; odds ratio and relative risk, probability theory, parameter estimation, tests for comparing statistics of two or more groups, correlation, linear regression, logistic regression and survival analysis.", "\\textbf{\\textit{Credits}}: 3", "\\textbf{\\textit{Audience}}: 75 Masters of Public Health (MPH) students\\newline \\hspace{1cm} \\newline")
) %>%
detailed_entries(
where = Year,
with = Name,
what = Duty,
why = Desc,
.protect = FALSE
)
```
## \faSquare \ \ \text{Short courses}
```{r}
tribble(
~Year ,
~Name ,
~Duty ,
~Desc ,
'Summer 2019, Fall 2020' ,
"Fundamentals of Data Science Literacy" ,
"University of Colorado Anschutz Medical Campus" ,
list("\\textbf{\\textit{Duty}}: lead organizer, developed and taught 3 machine learning lectures", "\\textbf{\\textit{Description}}: 6-week short course (2 hours/week) on data science with emphasis on how machine learning and data mining are used in biomedical research. Topics included: 1) Overview of Data Science; 2) Introduction of Machine Learning in Biomedical Research; 3) Clustering and Pattern Finding (unsupervised Machine Learning); 4) Powerful Predictive Models and Variable Selection (supervised Machine Learning); 5) Fundamentals of Data Visualization; 6): Reproducible Research and Team Science", "\\textbf{\\textit{Audience}}: ~20 medical researchers, mostly non-statisticians\\newline \\hspace{1cm} \\newline") ,
'Summer 2019, 2020' ,
"Introduction to Statistics" ,
"University of Colorado Anschutz Medical Campus" ,
list("\\textbf{\\textit{Duty}}: Instructor, developed and taught lectures on “Introduction to statistics”, study design, and survey design", "\\textbf{\\textit{Description}}: Introductory statistics day-long short course for UCHealth nurses", "\\textbf{\\textit{Audience}}: ~15 UCHealth Nurses\\newline \\hspace{1cm} \\newline")
) %>%
detailed_entries(
where = Year,
with = Name,
what = Duty,
why = Desc,
.protect = FALSE
)
```
## \faSquare \ \ \text{Guest Lectures}
```{r}
tribble(
~Year ,
~Name ,
~Duty ,
~Desc ,
'Nov 2019, Oct 2020' ,
"IPHY 5900 – Data Literacy in Biomedical Research" ,
"University of Colorado Boulder" ,
list("\\textbf{\\textit{Primary Instructor}}: Dr. Celine Marie Claire D. Vetter, Integrative Physiology", "\\textbf{\\textit{Lecture}}: Machine Learning in Biomedical Research\\newline \\hspace{1cm} \\newline") ,
'Fall 2018' ,
"BIOS 6611 – Biostatistical Methods I" ,
"University of Colorado School of Public Health" ,
list("\\textbf{\\textit{Primary Instructor}}: Dr. Alex Kaizer", "\\textbf{\\textit{Lecture}}: Linear Algebra Review\\newline \\hspace{1cm} \\newline")
) %>%
detailed_entries(
where = Year,
with = Name,
what = Duty,
why = Desc,
.protect = FALSE
)
```
# \faUsers \text{ Mentoring and supervising}
## \faSquare \ \ \text{University of California Los Angeles}
### Supervising students for data analysis projects {-}
- Yuxi Song
- Sattwik Banerjee
- Adriana Wiggins
## \faSquare \ \ \text{University of Colorado, Department of Biostatistics and Informatics}
### Supervising MPH/MS Statisticians {-}
- Laura Grau (MPH), Nov 2018 – Jan 2021
- I supervised Laura on several projects which led to publications.
### Supervising students for data analysis projects {-}
- Yaxu Zhuang (PhD), Jan 2019 – Aug 2020
- Rachel Weber (MS), Dec 2018 – April 2019
### Thesis or Dissertation Committee Member (graduating year) {-}
- Charlie Carpenter, Biostatistics MS thesis committee, Biostatistics (2020)
- Rachel Blumhagen, Biostatistics PhD dissertation committee (2021)
# \faHandsHelping \text{ Professional Service}
## \faSquare \ \ \text{Grant and Protocol Reviews}
- Scientific Advisory & Review Committee (SARC), Colorado Clinical and Translational Sciences Institute, University of Colorado – April 2019 to Jan 2021
## \faSquare \ \ \text{Journal Reviewer}
- Cancer Research
- Journal of the American Heart Association (JAHA)
- Genetic Epidemiology
- PeerJ
- Biometrics
- Journal of Open Source Software (JOSS)
## \faSquare \ \ \text{Committees/Other}
### Jonsson Comprehensive Cancer Center, University of California Los Angeles {-}
- Chair of Statistics Working Group: April 2023 - Present
### Department of Biostatistics and Informatics, University of Colorado {-}
- Student Admissions Committee, Fall 2018 – Spring 2019
- Volunteer Judge for CIDA Hackathon (24 hour data analysis competition), Jan. 2020
### Biostatistics, Epidemiology, & Research Design Core of the Colorado Clinical and Translational Sciences Institute, University of Colorado {-}
- Education Committee, Fall 2018 – Jan 2020
# \faDesktop \text{ Software Skills}
## \faSquare \ \ \text{Proficient}
\faRProject
* Over **`r as.numeric(format(Sys.Date(), "%Y")) - 2011` years** of experience with R for data analysis
* I enjoy **developing R packages** to easily share documented code with colleagues and the broader research community. Examples:
- https://uclahs-cds.github.io/package-PrCaMethy/
- https://github.com/arbet003/discoMod
* **Parallel programming** in R using multiple cpus
\faGithub \textbf{ git/github}
* Version control
* Used daily
* Collaborating with others on projects
* Review colleagues' code
* Assign issues to team members
### Quarto and Rmarkdown {-}
* Reproducible research, manuscripts and reports
* Reproducible HTML presentations. Examples: [https://jarbet.github.io/presentations](https://jarbet.github.io/presentations)
* Websites: [https://jarbet.github.io/](https://jarbet.github.io/)
* Resume: this resume was made using Rmarkdown with the [vitae R package](https://github.com/mitchelloharawild/vitae)
### Bayesian statistical programming {-}
* Proficient with BUGS/JAGS; basic skills with STAN
## \faSquare \ \ \text{Basic skills}
* Linux command line and bash scripts
+ Daily use of a high-performance computing cluster at UCLA
* Databricks
* Microsoft Office
* SAS