UW Data Science Center

The goal of the UW Data Science Center is to lower the barrier to entry into productive analysis of data.  

Additionally, we seek to foster the careers of our participants and to build the data science capacity in Wyoming, to the benefit of its residents (including businesses and governments).

Many of the activities of the Data Science Center take place in Aven Nelson room 210, where the center is housed.

This webspace is public by default (read-only). You can request write access with an email to Alex Buerkle

Working groups 

  • Data science working group – we met again in spring 2021, remotely, and will be meeting again in fall 2021.

  • Linear algebra help group (spring 2020)

  • TechTalkLaramie – Laramie’s evening TechTalks are an informal networking and social get-together with a focus on technology. Meets occur twice per month, and are generally on the first and third Thursdays of each month. Check out our calendar for upcoming meeting times and locations! The first Thursday of the month (usually) is an informal gathering for sharing ideas, solutions, experiences, and – optionally – a drink.

  • former: COVID-19 models and data working group

Short courses and workshops


Introduction to Deep Learning in Python for Ecologists, 17-19 May 2021, Virtual over Zoom


Introduction to Machine Learning in Python for Ecologists (v2), 31 March - 2 April 2021, Virtual over Zoom

An Applied Introduction to Bayesian Statistics, 22-25 February 2021, Virtual over Zoom

Introduction to Machine Learning in Python for Ecologists (v1), 11-15 January 2021, Virtual over Zoom

Spatial Data Science Using R, 26-28 August 2019, University of Wyoming

Introduction to data science and machine learning, 24-26 September 2019, University of Wyoming

Using Conda to Manage Research Software, 26 February 2020, University of Wyoming

Mailing lists

For communication beyond these confluence pages, we have two internal mailing lists. UW users are welcome to subscribe themselves at the following links:

  • data-science-center – this is our main list for communication about things of interest to the data science center

  • data-science-center-announce – this is a moderated list with low-frequency mailings that announce major events and activities.

Consultation – Data science office hours during the academic year

Person and affiliation




Shannon Albeke, UW (mail)

Agriculture 316/323

by appointment

General computing with R, statistics and spatial analyses (R, ArcGIS and other open source software)

Alex Buerkle, UW (mail, web)

Aven Nelson 202, online in spring '21

by appointment

computing (R, C, Perl, UNIX, HPC, etc.), statistics, and genomics

Josh Harrison, UW (mailweb)

Aven Nelson 202

by appointment

R, basic Linux, JAGS, slurm, shell scripting, enough python and perl to be dangerous, amplicon seq. processing, general stats

Jason Mercer, UW (mail, web)


by appointment 

General computing with R, tidyverse + ggplot2, Stan-based Bayesian analysis, physically based modeling and inversion (isotopes, hydrology, geophysics), singularity containers, student ambassador for UWyo’s high performance computing system

Gordon Custer, UW (mail)


by appointment

Amplicon sequence processing, general computing in R, general stats with a microbial ecology focus, basic shell scripts 

Jared Studyvin, WEST, Inc. (mail)


by appointment

R: statistical analyses, data wrangling, data visualization, JAGS

Mikey Tabak, WEST, Inc. (mail)


by appointment

Deep learning (computer vision and Artificial Neural Nets); Bayesian modeling; Ecological and epidemiological modeling and simulations; Python, R, Stan

Jason Carlisle, WEST, Inc. (mail)


by appointment

Wildlife statistics (abundance, distribution, survival, movement), spatial analysis, sampling and study design, R package development, data-science internships and training

Dylan Perkins, ARCC (mail)


Tuesdays & Thursdays 1-3PM or by appointment

Anything ARCC related. Drop-in during these hours for help using Teton, the petaLibrary or any other service ARCC provides.

Internship program

WEST (an environmental and statistical consulting company founded in Wyoming) hosts paid data-science internships in partnership with Wyoming EPSCoR. These are suitable for graduate or undergraduate students. Applications are due Dec 27, 2020 for an internship during spring or summer 2021. See the job ad on WEST’s website, or contact @Jason Carlisle with questions. There will be equivalent internships through 2022. See https://microcollaborative.atlassian.net/wiki/spaces/DSC/blog/2020/12/01/990183548/2021+WEST+data+science+internships for more info, including an opportunity to hear from the recent cohort of interns.


We have considered hosting a local data science competition at UW.  We would use this an opportunity to learn from one another, with in person meetings and discussions of the projects and entries, including by judges and attendees who are data science professionals.  Additionally, some students are interested in Kaggle and other competitions.  More information is on the Data Science competitions page.

Other data science topics

Knowledge base

  • How do we share code and Rmarkdown output?: consider shared projects on Rstudio.cloud

Cluster and other research computing
  • How to use git

  • How to get access to cluster computing resources at UW

  • How to ssh to the cluster computer (Teton, teton.uwyo.edu)

  • How to submit jobs to the shared queue for the cluster computing with SLURM

Statistical modeling

Recent space activity

Space contributors