IMCI sponsors the University of Idaho as a member organization in The Carpentries training program to improve data literacy and reproducible science.

The Carpentries teaches foundational computational and data science skills to researchers worldwide. They train and certify volunteer instructors and provide curriculum in a variety of topics designed to be presented as workshops.


Current Offerings


Past Workshops & Events

In 2019, IMCI started teaching practical programming workshops following The Carpentries lessons. Thanks to eight graduate students, postdocs who completed the required pedagogical training and 12 helpers, we ran five workshops with a total of about 150 workshop participants. For two of these workshops, we teamed up with the Idaho State University and Boise State University to provide inter-jurisdictional training opportunities.

Spring 2020

Spring 2021

Instructors

Salvador “Chava” Castaneda

Chava is a graduate student in the Bioinformatics and Computational Biology program at the University of Idaho. He has been a carpentries instructor since 2019 and is passionate about teaching and about making the process of learning how to code less intimidating and more rewarding. Personal page: https://www.linkedin.com/in/salvador-chava-castaneda-barba-91bb49135/

Amanda Culley

Amanda is a statistical analyst at ArcherDX, a genomics company in Boulder, CO, who has been using R extensively for statistical analysis for 8 years. She was recently certified as a Carpentries instructor and enjoys training others to use R.

Clint Elg

Clint is a PhD Candidate in the Bioinformatics and Computation Biology (BCB) program at the University of Idaho. He is experienced in sequencing bacterial genomes and has authored a software package in Python. He enjoys helping others make connections and learn new things.

Li Huang

Li Huang is a postdoctoral fellow in the socio-ecological systems working group of the GEM3 program funded by Idaho EPSCoR. His research focuses on scenario modeling of landscape change by stakeholder involvement and geospatial modeling and visualization tools. He is also focusing on spatially explicit hydrological modeling and integration of land use, hydroclimate, and socio-economic scenarios with adaptive capacity studies of local species. Personal page: https://scholar.google.com/citations?hl=en&user=tmfAyiQAAAAJ&view_op=list_works&sortby=pubdate

Kristen Martinet

Hello! I’m Kristen. My greatest passions are herpetology and computer science, and I am currently researching the intricacies of adaptive radiation using phylogenetic comparative methods. Personal webpage: https://kmartinet.github.io/

Yesol Sapozhnikov

Yesol is a PhD Candidate in the Bioinformatics and Computational Biology Program at the University of Idaho. Yesol is a registered nurse who became interested in mathematical and statistical modeling. Her research involves using these methods to describe mutational processes in the bacteriophage phiX174.

Personal page: https://www.linkedin.com/in/yesol-sapozhnikov-bb852b36/

Travis Seaborn

Travis is a post-doctoral researcher at University of Idaho in the department of Fish and Wildlife Sciences. Travis is interested in a broad range of ecological modelling and simulation techniques. He loves helping new learners tackle the basics of coding. Personal page: https://www.travisseaborn.com/

Erich Seamon

Erich is a quantitative climatologist and data scientist, who works as a postdoctoral fellow in IMCI’s geospatial modeling core initiative. Erich has a M.S. in geological sciences from Bowling Green State University and a Ph.D. in Natural Resources from the University of Idaho, with a focus on climatological analysis, machine learning, and agricultural processes. His research focuses on statistical modeling techniques to explore natural system spatiotemporal relationships, with a particular focus on climatological impacts and their varying conditional relationships to areas such as agriculture, insurance, human health, and socio-ecological feedback systems. Personal page: http://erich.io/

Breanna Sipley

Breanna is a PhD student in the Bioinformatics and Computational Biology program at the University of Idaho. Breanna is grateful for a growing computational toolkit, which, for better or worse, has emboldened their knack for picking hard problems to study and making figures unnecessarily beautiful. Eager to help empower others to do and share exciting and reproducible science, Breanna has enjoyed helping with several Carpentries workshops as a certified Software Carpentry instructor, including teaching the very first IMCI-sponsored workshop alongside three fellow BCB graduate students.  They are looking forward to continuing to support fellow instructors and learners. Personal page: https://sipley.github.io/

Amanda Stahlke

Amanda is a PhD Candidate in the Bioinformatics and Computational Biology Program at the University of Idaho. Her research centers around characterizing the genomic basis of rapid evolution in wild populations. She became a badged Carpentries Instructor in 2019 and has taught or helped with bash, genomics, and geospatial Carpentry workshops. Personal page: https://amandastahlke.weebly.com/

James Van Leuven

James is a Research Assistant Professor in the Department of Biological Sciences and the Institute for Modeling, Collaboration, and Innovation at the University of Idaho. James uses computer programming to study microbial genome evolution and enjoys teaching students bioinformatic and computational skills.

Boyu Zhang

Boyu Zhang is a Postdoctoral Fellow in the Institution for Modeling Collaboration and Innovation, University of Idaho. He holds a Ph.D. in Computer Science from the Harbin Institute of Technology. His research interests include Machine Learning, Computer Vision, and Explainable Artificial Intelligence.

Personal page: https://www.linkedin.com/in/boyu-zhang-4060b469/

Lihong Zhao

Lihong was a postdoc at IMCI until 2020. She came to the UI from the University of Louisiana at Lafayette, where she received her PhD in Mathematics in 2017. Her research involves application of differential equations, numerical analysis, and inverse problems. Personal page: https://www.linkedin.com/in/lihong-zhao-9890bb24/