Experience

Santa Fe County

• United States
• Government Administration
• 100 - 200 Employee

• Desktop Support Specialist I

  • Mar 2023 - Present



looking for new opporunity

• United States
• Retail
• 700 & Above Employee

• Computational Scientist

  • Mar 2020 - Apr 2023



New Mexico Department of Health

• United States
• Wellness and Fitness Services
• 100 - 200 Employee

• Epidemiologist - Hepatitis C

  • Nov 2021 - Nov 2022



Santa Fe Institute

• United States
• Research Services
• 1 - 100 Employee

• Data Specialist

  • Jun 2021 - Nov 2021



Pebble Labs Inc.

• United States
• Biotechnology Research
• 1 - 100 Employee

• Bioinformatics Technician

  • Sep 2018 - Mar 2020

  Assisted on the development of bioinformatic pipelines and software tools. Learned how to operate within a Linux environment. Gained extensive knowledge of various bioinformatics software to interpret genomic data as well as to monitor memory allocation. Often software calls would fail if RAM was exhausted, thus it was important to understand how various packages dealt with RAM. Solutions included using different software or using higher RAM computer nodes. It was typical to work on a variety of new projects over the course of several months. Examples include running a genomic pipeline and then shifting focus to metagenomic analysis. Performed metagenomic analysis using QIIME2 software environment. Starting with raw data, used QIIME2 to process the data and identify bacterial and fungal species in different organisms. End analysis included statistical analysis and visualization in R to understand biological relevance of the data. Show less



University of Idaho

• United States
• Higher Education
• 700 & Above Employee

• Graduate Student

  • Aug 2015 - Dec 2018

  Research focuses on creating a mathematical model of respiratory virus coinfection within a host. Studies have shown hosts can be infected by multiple viruses simultaneously, but there is limited data that show how these viruses interact and what the outcome is to the host. Some viruses, such as Respiratory syncytial virus (RSV), can cause severe illness and even death to a host, but there is variation in how this and other viruses affect a host. The immune response is known to help remove the viruses during a single infection, but it is still unknown how the immune response tackles two similar viruses. My goal is to create a coinfection mathematical model that tracts two different respiratory viruses within the host with the inclusion of an innate immune response. Show less



The University of New Mexico

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant (Postbaccalaureate Research and Education Program)

  • Jun 2013 - Jun 2014

  Researched the programming framework Hadoop and how to implement it on a cluster within a supercomputer. Worked on a RNA-seq project using the program GSNAP, Genomic Short-read Nucleotide Alignment GSNAP is a next-generation sequencing program that captures sequence differences in reads relative to a reference genome or transcriptome. Ran GSNAP on two different super computer clusters and were interested in how fast GSNAP could analyze a given fastq file made of reads. Since full reference genome was around 5 GBs, needed to split genome into subsets Benchmarked how quickly GSNAP could analyze reads using the complete genome or breaking the genome into subset of the genome. Show less

• Undergraduate Research Assistant

  • Jan 2012 - May 2013

  Studied virus dynamics within a mosquito using dengue as a case study. Specifically interested in competition of multiple strains within the vector. Used a system of continuous ordinary differential equation to represent the biology of a mosquito. Particularly focused on the midgut and whether the virus can reach the salivary gland and eventual transmit to humans. We looked at the Jacobian of the system to find the stability of the equilibrium points and further looked at a non dimensionalized system to understand the effects of key parameters better. Used Matlab to numerically solve the system. Show less