Teaching

 

Instruction

Courses

2024 Short Course Co-Developer and Co-instructor, Data Science for Environmental Health (DaSEH) Short Course** Funded by the National Institute of Environmental Health Sciences 1R25ES035590-01, Fred Hutchinson Cancer Center, Seattle, Washington (20 students)

2024 Short Course Co-Developer and Co-instructor, Data Science for Environmental Health (DaSEH) Short Course Funded by the National Institute of Environmental Health Sciences 1R25ES035590-01, Fred Hutchinson Cancer Center, Seattle, Washington (25 students)

2024 Short Course Co-Developer and Co-instructor, University of Washington Biostatistics Summer Institutes, “Data Wrangling”, Virtual (~40 students)

2024 Course Co-developer and Co-instructor - rated as excellent by students 140.604.73 – Introduction to R for Public Health Researchers, Virtual, Johns Hopkins Bloomberg School of Public Health Summer Institutes Term (28 students)

2024 Course Co-developer and Co-instructor - rated as excellent.by students 140.604.79 – Introduction to R for Public Health Researchers, Virtual, Johns Hopkins Bloomberg School of Public Health Winter Institutes Term (28 students)

2023 Course Co-creator & Co-instructor - not rated PH.140.840 – Baltimore Community Data Science, Virtual, Johns Hopkins Bloomberg School of Public Health 1st and 2nd Terms academic year 2023-2024 (Aug - Dec 2023) (9 students)

2023 Short Course Co-Developer and Co-instructor University of Washington Biostatistics Summer Institutes, “Data Wrangling”, Virtual (~40 students)

2023 Course Co-developer and Co-instructor - rated as excellent by students 140.604.79 – Introduction to R for Public Health Researchers, Virtual, Johns Hopkins Bloomberg School of Public Health Summer Institutes Term (38 students)

2023 Course Co-developer and Co-instructor - rated as excellent by students 140.604.73 – Introduction to R for Public Health Researchers, Virtual, Johns Hopkins Bloomberg School of Public Health Winter Institutes Term (24 students)

2022 Short Course Co-Developer and Co-instructor University of Washington Biostatistics Summer Institutes, “Data Wrangling”, Virtual (49 students)

2022 Course Co-developer and Co-instructor - rated as excellent by students 140.604.79 – Introduction to R for Public Health Researchers, Virtual, Johns Hopkins Bloomberg School of Public Health Summer Institutes Term (41 students)

2022 Course Co-creator & Co-instructor - not rated PH.140.840 – Baltimore Community Data Science, Virtual, Johns Hopkins Bloomberg School of Public Health 3rd and 4th Terms academic year 2022-2023 (Jan - May 2022)(11 students)

2022 Course Co-developer and Co-instructor - rated as excellent by students 140.604.73 – Introduction to R for Public Health Researchers, Virtual, Johns Hopkins Bloomberg School of Public Health Winter Institutes Term (32 students)

2021 Short Course Co-Developer and Co-instructor University of Washington Biostatistics Summer Institutes, “Data Wrangling”, Virtual (approx 45 students)

2021 Course Co-developer and Co-instructor 140.604.11 – Introduction to R for Public Health Researchers, Virtual, Johns Hopkins Bloomberg School of Public Health Summer Institutes Term (34 students)

2019 Course Developer and Course Instructor Johns Hopkins Center for Talented Youth, Baltimore, MD “Introduction to Biomedical Sciences” Designed and taught a full time two week course about Biomedical Sciences to high school students in Ajman in the United Arab Emirates including a significant lab portion of the course (approx 15 students)

2019 Course Developer and Course Instructor Johns Hopkins Center for Talented Youth, Baltimore, MD “Introduction to Biomedical Sciences” Designed and taught a full time two week course about Biomedical Sciences to high school students in Abu Dhabi in the United Arab Emirates including a significant lab portion of the course (approx 15 students)

2005 Class Instructor Explora Science Center, Albuquerque, NM Taught a variety of science courses to children age 3-12

Workshops

2024 Workshop Co-developer and Co-instructor ITCR Annual Meeting 2024 - ITCR Annual Meeting Trainee Workshop - GitHub and Reproducibility 101, Indianapolis, Indiana (approx 20 learners)

2024 Workshop Co-developer and Co-instructor NIH, ITCR workshops Computing for Cancer Research, NYU, Bethesda, MD (approx 25 learners)

2024 Workshop Co-developer and Co-instructor NYU, ITCR workshops AI Ethics for Scientific Research, NYU, New York City, New York (approx 25 learners)

2024 Workshop Developer and Instructor NYU, ITCR workshops Computing for Cancer Informatics, NYU, New York City, New York (approx 25 learners)

2024 Workshop Developer and Instructor, AI Considerations for research, Fred Hutchinson Cancer Center, Seattle Washington

2024 Workshop Developer and Instructor, Write Smarter with LaTeX and Overleaf, Fred Hutchinson Cancer Center, Seattle Washington

2023 Workshop Co-developer and Co-instructor SeattleStatSummer Intro to R Workshop, Fred Hutchinson Cancer Center SeattleStatSummer Program, Virtual, Seattle, Washington (11 students)

2023 Workshop Developer and Instructor Fred Hutchinson Cancer Center, ITCR workshops Multidisciplinary teams for Cancer Informatics, Seattle, Washington (approx 15 learners)

2023 Workshop Developer and Instructor Fred Hutchinson Cancer Center ITCR workshops Computing for Cancer Informatics, Seattle, Washington (approx 15 learners)

2023 Workshop Co-developer and Co-instructor ITCR Annual Meeting 2023 - ITCR Annual Meeting Trainee Workshop - GitHub 101, Chicago, Illinois (approx 20 learners)

2022 Workshop Developer and Co-instructor Translational Genomics Research Institute (TGEN) - Leveraging Resources for Your Bioinformatics Analyses (Including Galaxy Introduction), Phoenix, Arizona (6 learners)

2023 Workshop Co-developer and Co-instructor Great Lakes Bioinformatics Conference 2023 - Using reproducibility techniques and version control to improve daily bioinformatics research practices and publish scientific websites with R, McGill University, Montreal, Quebec, Canada (7 learners)

2022 Workshop Developer and Instructor ITCR Annual Meeting 2022 - ITCR Annual Meeting Trainee Workshop, Washington University School of Medicine in St Louis, Missouri (15 learners)

2020 Workshop Developer and Instructor R-Ladies Baltimore, Virtual “Wrangling a pdf with stringr” (approx 40 attendees)

2020 Workshop Instructor Johns Hopkins Center for Talented Youth, Baltimore, MD “Research and Data Science” Designed and taught a workshop about Research and R programming to South Korean high school students in Baltimore (approx 12 students)

2017 Workshop Instructor Baltimore Underground Science Space, Baltimore, MD “Adventures in BIG DATA Analysis” Designed and taught a course on data analysis using R (approx 20 students)

Citizen Science Events

2023 Co-developer and Co-Instructor/Facilitator “What’s informatics and how do we use it to fight cancer?”, ITCR event in partnership with the University of Illinois, Chicago, Project Brotherhood, and Morehouse School of Medicine. Atlanta, Georgia (approx 20 attendees)

2022 Co-developer and Co-Instructor/Facilitator “What’s informatics and how do we use it to fight cancer?”, ITCR event in partnership with the University of Illinois, Chicago and Project Brotherhood. Virtual (approx 20 attendees)

Assisting and Tutoring

2023 Workshop Assistant Fred Hutchinson Cancer Center ITCR Workshops, AI for Software and Analysis Development Seattle, Washington (approx 6 learners)

2023 Workshop Assistant Fred Hutchinson Cancer Center ITCR Workshops, Choosing Genomics Tools (including UCSC Xena Browser introduction) Seattle, Washington (approx 15 learners)

2018 Teaching Assistant Baltimore Underground Science Space, Baltimore, MD “R you interested in big data analysis?” Assisted with R programming analysis one-on-one with students

2018 Teaching Assistant Baltimore Underground Science Space, Baltimore, MD “Go with your guts! (And the billions of bacteria in them): A personal microbiome course” Assisted with R programming analysis one-on-one with students

2013 Teaching Assistant Department of Neurosciences, University of New Mexico, Albuquerque, NM “Introduction to Neurobiology”, Biomed 509 taught by Donald Partridge, Ph.D. Assisted with grading, class organization, and discussions

2007 Student Tutor Department of Chemistry, University of New Mexico, Albuquerque, NM “Organic Chemistry”, Chem 301 taught by Lisa Whalen, Ph.D. Tutored two undergraduate students

Case Studies

  1. Exploring global patterns of obesity across rural and urban regions (Version v1.0.0).
    Wright, Carrie and Jager, Leah and Taub, Margaret and Hicks, Stephanie. (2020).
    https://github.com/opencasestudies/ocs-bp-rural-and-urban-obesity

  1. Predicting Annual Air Pollution (Version v1.0.0).
    Wright, Carrie and Jager, Leah and Taub, Margaret and Hicks, Stephanie. (2020).
    https://github.com//opencasestudies/ocs-bp-air-pollution

  1. Vaping Behaviors in American Youth (Version v1.0.0).
    Wright, Carrie and Ontiveros, Michael and Jager, Leah and Taub, Margaret and Hicks, Stephanie.(2020).
    https://github.com/opencasestudies/ocs-bp-vaping-case-study

  1. Opioids in the United States (Version v1.0.0).
    Wright, Carrie and Wang, Kexin and Jager, Leah and Taub, Margaret and Hicks, Stephanie. (2020).
    https://github.com/opencasestudies/ocs-bp-opioid-rural-urban

  1. Influence of Multicollinearity on Measured Impact of Right-to-Carry Gun Laws Part 1 (Version v1.0.0).
    Wright, Carrie and Ontiveros, Michael and Jager, Leah and Taub, Margaret and Hicks, Stephanie.(2020).
    https://github.com/opencasestudies/ocs-bp-RTC-wrangling

  1. Influence of Multicollinearity on Measured Impact of Right-to-Carry Gun Laws (Version v1.0.0)
    Wright, Carrie and Ontiveros, Michael and Jager, Leah and Taub, Margaret and Hicks, Stephanie.(2020).
    https://github.com//opencasestudies/ocs-bp-RTC-analysis

  1. Disparities in Youth Disconnection
    Wright, Carrie and Ontiveros, Michael and Jager, Leah and Taub, Margaret and Hicks, Stephanie. (2020).
    https://github.com/opencasestudies/ocs-youth-disconnection-case-study

  1. Mental Health of American Youth
    Wright, Carrie and Ontiveros, Michael and Jager, Leah and Taub, Margaret and Hicks, Stephanie. (2020).
    https://github.com/opencasestudies/ocs-bp-youth-mental-health

  1. School Shootings in the United States (Version v1.0.0).
    Wright, Carrie and Ontiveros, Michael and Jager, Leah and Taub, Margaret and Hicks, Stephanie.(2020).
    https://github.com//opencasestudies/ocs-bp-school-shootings-dashboard

  1. Exploring CO2 emissions across time (Version v1.0.0).
    Wright, Carrie and Ontiveros, Michael and Jager, Leah and Taub, Margaret and Hicks, Stephanie.(2020).
    (https://github.com/opencasestudies/ocs-bp-co2-emissions)

  2. Exploring global patterns of dietary behaviors associated with health risk (Version v1.0.0).
    Wright, Carrie and Jager, Leah and Taub, Margaret and Hicks, Stephanie. (2020).
    https://github.com/opencasestudies/ocs-bp-diet

Books

2022 An Educator’s Guide to the Open Case Studies, Carrie Wright, Michael Breshock, Lyla Atta, and Stephanie Hicks. https://leanpub.com/opencasestudies_guide

2020 Tidyverse Skills for Data Science in R, Carrie Wright, Shannon Ellis, Stephanie Hicks, and Roger D. Peng. https://leanpub.com/tidyverseskillsdatascience

Book image created by Jessica Crowell

Mentorship

Academic Advisees

  • Capstone Advisor for Logan, Eean. Master of Public Health. Johns Hopkins Bloomber School of Public Health, Baltimore, MD (2022).

  • Thesis Advisor for Breshock, Michael. Master of Science in Engineering, Biomedical Engineering. Johns Hopkins University, Baltimore, MD (2020 - 2021).Thesis Link.

Research Advisees

  • Isaac, Kate. Postdoctoral Fellow. Fred Hutchinson Cancer Center, Seattle, WA (2023 - Present). Co-supervised with Jeff Leek

  • Jainaba, Jawara. Undergraduate Student Intern. University of Washington, Seattle, WA (2023). Co-supervised with Ava Hoffman on a research project and poster as part of the SeattleStatSummer program at the Fred Hutchinson Cancer Center.

  • Afiaz, Awan. Graduate Research Assistant. Doctorate of Biostatistics. University of Washington, Seattle, WA (2023). (Served as co-supervisor with Jeff Leek.)

  • Hwang, Jimin. Graduate Research Assistant. Master of Public Health. Johns Hopkins University, Baltimore, MD (2022). Worked with Jimin to create scientific communication cartoons.

  • Rout, Pratik. Graduate Research Assistant. Master of Science, Bioinformatics. Johns Hopkins University, Baltimore, MD (2022). Mentored Pratik to create interactive tables for ITCR tools.

  • Atta, Lyla. Graduate Research Assistant. Doctor of Philosophy, Biomedical Engineering. Johns Hopkins University, Baltimore, MD (2021 - 2022). Mentored Lyla as we created a guide for instruction with our case studies.

  • Breshock, Michael. Research Assistant. (Not in a degree program at the time - just graduated with Master of Science in Engineering degree), Department of Biostatistics. Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (2021 - 2022). Mentored Michael to create OCSdata R package and to create other case study tools and resources, as well as perform research on case study usage.

  • Meng, Qier. Graduate Research Assistant. Master of Science, Biostatistics. Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (2020 - 2021). Mentored Qier, as she made case studies interactive.

  • Ontiveros, Michael. Graduate Research Assistant. Master of Health Sciences, Epidemiology. Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (2020). Worked with Michael to create case studies.

  • Rajpurohit, Nina. Research Associate. Lieber Institute for Brain Development, Baltimore, MD (2017). Trained and guided Nina through a gene expression research project.

  • Brusilovsky, Jane. Undergraduate Student Researcher. Bachelors of Science, Bioengineering. Lieber Institute for Brain Development, Baltimore, MD (2017). Trained and guided Jane through a gene expression research project.

  • Astorga, Daniel. Undergraduate Student Researcher. Bachelors of Science, Biology. The Mind Research Network, Albuquerque, NM (2013). Trained and guided Daniel through an imaging genetics research project.

Thesis Committees/Thesis Reader

  • Breshock, Michael. Master of Science in Engineering. Biomedical Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, MD. Thesis entitled “Expanding Access and Removing Barriers: Data Science Education with the Open Case Studies Digital Platform” (2020-2021).

  • Michael Patrick Geaghan. International Doctoral Thesis Examiner. Thesis entitled “Characterising Transcriptional Perturbations Arising from Altered Expression of Schizophrenia-Associated MicroRNA” for the School of Biomedical Sciences and Pharmacy, University of Newcastle, Australia (2019).