You can have my one page resumé as a file here. Otherwise you can scroll and view my extended work.

Graduate at North Carolina State University

Fall 2019 – Present

Statistics PhD Student



Research Training Program

I am on a research training program in partnership with Duke Clinical Research Institute. My first year I am shadowing and meeting with their biostatisticians to learn about how they run clinical trials, analyze data, write secondary manuscripts, etc. My second year I will join the team and help out! You can read more about it here.

Summer 2020

I have recently start investigating applications of the Dirichlet process with Dr. Jonathan Willaims. More on this to come!


I helped plan the prospective PhD student visit day for February 2020.

I helped run a Deep Learning Reading Group in Spring 2020 with Michael Burton and Alvin Sheng. We worked through Deep Learning with R.

In Fall 2020 through Spring 2021 I will serve as the President of the Statistics Graduate Student Association.

Undergraduate at Winona State University

Fall 2014 – Spring 2018

BS Computer Science

BS Physics

BA Mathematics

Minor Statistics

Minor Data Science



Women in Computer Science Club

Vice President, Treasurer, ACM-W Co-Chair

January 2018 – May 2018

Promote diversity in the field of computing and technology by planning activities and meetings with other students. Plan, manage, and host hands on workshops with guest speakers.

Dean’s Advisory Council

Senior Physics Chair

August 2017 – May 2018

Advise dean on matters pertaining to students in the College of Science and Engineering. Participate in community and outreach activities such as student panels.

Physics Club


August 2016 – May 2018

Plan and coordinate weekly meetings, events, and club trips. Work closely with department to create projects and outreach events.


Programming Languages: Bash ⋅ Python ⋅ Java ⋅ Julia

Hardware Oriented Languages: Arduino ⋅ Labview ⋅ Verilog

Math & Statistics: Excel ⋅ JMP ⋅ LaTeX & MathJax ⋅ Mathematica ⋅ R ⋅ SAS ⋅ Tableau

Bioinformatics: Cromwell + WDL

Familiar: Assembly ⋅ C ⋅ CSS ⋅ HTML ⋅ Jess ⋅ MySQL ⋅ Perl

Work Experience

Mayo Clinic

IT Programmer Analyst: Genomics Systems Unit

July 2018 – August 2019

  • Develop variant annotation, microbiome, and multiple myeloma fusion detection pipelines for research and clinical purposes.
  • Develop a unit test framework for our pipelines.
  • Suggested and helped start an Onboarding Program for new employees in our unit.
  • Help maintain and update IT infrastructure.
  • Provided extensive documentation and training on my projects when I left.

Digi International

Software Engineering Intern

May 2017 – August 2017

  • Build firmware for routing devices.
  • Help build an automated testing environment and write unit tests.

Winona State University

Software Tester and Developer

August 2016 – May 2018

  • Build firmware for microcontrollers and routing devices.
  • Devise high-level use cases; design and develop solutions for customers.

Peer Tutor

July 2016 – May 2018

  • Tutor students in Physics, Mathematics, and Computer Science.
  • Provide technological insight, external educational resources, as well as study habits to help students learn effectively independently.
  • Teach in both one-on-one and group settings.

Competitions and Talks

MUDAC 2018

1st place

Selected Slides

The Midwestern Undergraduate Data Analytics Competition (MUDAC) was a 24 hour data analytics competition hosted at Winona State University on April 7-8 2018. We analyzed attrition of season ticket holders for the Minnesota Wild. We analyzed the data, made visualizations, and then presented to judges. Many of the slides cannot be posted to adhere to an NDA. My team included Bradley Erickson, Bradly Hennes, and Uzma Ghazanfar. The Kaggle in class competition can be found here; we are Mudac Team 5 (nicknamed Bergen’s Beauties) on the leaderboards.

Police Data Challenge

Best College Overall


The Police Data Challenge was hosted by the American Statistics Association. We analyzed police call data from the city of Seattle. Using visualizations, we made analyzed trends in different types of crimes. We used these insights we made implementable recommendations for the Seattle Police Department. I worked with Kapil Khanal.

MinneMUDAC 2017

Honorable Mention


In this competition we analyzed health care claims data. The goal was to predict future expenditures for patients with diabetes using past claims data and demographic information. My team included Will Diedrick, Akif Khan, Kapil Khanal, and Sean Wittenberg. You can find more information here.



Executive Summary

The SIMIODE Challenge Using Differential Equations Modeling (SCUDEM) offered 3 modeling problems. We chose to answer question 2, modeling a predator and prey relationship. You can find more information about the Competition here.I worked on this project with Gabe Mancino and Nick Meyer.

Pi Mu Epsilon 2018


Abstract: With the ever-increasing popularity of the Internet comes a deluge of publicly available data useful for providing insights on methods to better society. Data science involves the process of gathering, managing, analyzing, and communicating data. This presentation will explore each of these steps using mental health, medical, and police calls data. The ultimate goal of this process is to learn from the data and make implementable suggestions to improve society.

Mental Health Project

See it online

I visualized some data about mental health, stress, and anxiety. The data came from IPUMS, the CDC, and PubMed Central. I used Tableau for visualization.


Winona State University

  • Outstanding Graduate in Computer Science
  • Outstanding Graduate in Physics
  • Outstanding Graduate in Mathematics and Statistics
  • Outstanding Student Leader
  • I try to post most of my work on my GitHub.
  • You can check out my Linkedin (but pretty much all of that information is already here.)
  • And of course you can explore more of my website!