Biography
My recent work has been in statistical genetics and ancestry estimation, including optimization, parallel computing, algorithm design, and machine learning.
I enjoy exploring the intersection between big data and computing, particularly in delivering scalable and adaptable solutions to current research questions.
Interests
- Applied Statistics
- Machine Learning
- Optimization
- Software Development
- Genetics
Education
MS - Statistics, 2021
University of Colorado Denver
BS - Mathematics, 2020
University of Colorado Denver
Experience
Research Assistant
- Assessed gene-level factors impacting acetaminophen use and liver damage.
- Developed pipeline for Copy Number Variant analysis within genomic data.
Research Assistant
- Published novel method of population-level ancestry estimation with summary genetic data.
- Developed and implemented minimization/maximization algorithms.
- Deployed interactive Shiny web-apps to display research results.
- Genome wide association study of birth height in a Guatemalan cohort.
Consultant
- Assessed the impact of marijuana on sleep using electroencephalogram (EEG) data.
- Built signal decomposition framework using Fast Fourier Transforms.
Projects
Binomial Distribution of Allele Data
The log-likelihood can be maximized under an assumption of a binomial mixture to infer ancestry.
EM Algorithm for Mixture Model
A basic expectation-maximization algorithm to estimate parameters of binomial mixtures.
Signal Decomposition of EEG Data
Use a Fast Fourier Transform to decompose electrical signals to infer brain wave state.
Awards
CLAS Outstanding MS Graduate
Two Master of Science students are selected each semester as outstanding graduates.
C.W. Cotterman Award
Each September, the editorial board of The American Journal of Human Genetics selects two trainee-authored articles published in AJHG in the previous year that best represent outstanding scientific contributions to the field of human genetics.
Undergraduate Research Opportunity Program Grant
The Undergraduate Research Opportunity Program is a competitive grant program managed by the Office of Undergraduate Research and Creative Activities. UROP Grants support original student-driven research, creative, and other scholarly activities under the mentorship of a CU Denver | Anschutz faculty mentor.
Publications
Skills
R
Python
Statistics
git
Bash
Genetics
Contact
- ianarrmac@gmail.com
- Denver, CO
- Github