Charlotte Walsh
Charlotte Walsh is the associate director of the office of research and sponsored programs at Midwestern University in Glendale, Arizona. She completed her PhD in statistics education at the University of Florida, an MS in biostatistics at the University of Minnesota, and a BA in mathematics and sociology anthropology with concentrations in statistics and management studies from St. Olaf College in Northfield, Minnesota. Since 2020, she has worked at Midwestern in research administration and biostatistical consulting in multiple areas of clinical research. She enjoys working with statistics researchers at all levels to analyze and interpret their data to answer research questions and achieve important objectives.
Walsh has taught biostatistics and quantitative research in the master of public health program at Midwestern and introductory statistics and online business analytics courses at Santa Fe College in Gainesville, Florida. She has been an AP Statistics reader for several years and enjoys attending statistics education–focused conferences. She lives in Arizona with her husband, and they welcomed their first baby in June of 2026.
7 a.m. The alarm goes off, and I usually roll out of bed soon after, especially with the early sunrise here in Arizona!
7:30 a.m. I enjoy a nice breakfast of eggs and a bagel with my husband before we both head to our shared office to start our days.
8:30 a.m. I’m able to work from home two days a week—it’s definitely a perk to not be in traffic driving across the Phoenix metro area for 1.5 hours every morning! I log into my computer and check my email.
8:35 a.m. I respond to emails related to my responsibilities in research administration about intramural grant approvals, student travel conference reimbursements, and research compliance training.
9:30 a.m. I have a bi-weekly check-in with my research administrator—who supports the institutional review board and the Institutional Animal Care and Use Committee—about application status and workflow. We discuss the status of each committee, turnaround time on application processing, and issues or complaints from faculty members. As a small research university, my staff and I are always working to communicate with faculty and students about the need to start early with research study applications.
10:07 a.m. Coffee break! I enjoy making a latte with my Nespresso maker in the midmorning when working from home.
10:15 a.m. Back to answering more emails and responding to Teams messages from my staff.
11 a.m. Try to do a stretch break and get up from my desk for a little bit. My cat, Paisley, thinks it’s time for lunch and starts meowing incessantly!
Charlotte’s cat, Paisley, sits in her daily sunny spot.
11:03 a.m. Meet with colleagues in the ASA Section on Statistical Consulting Pathways to Promotion Committee to discuss our upcoming webinar on networking.
12:06 p.m. Enjoy a lunch break of Mexican leftovers from our favorite restaurant. Paisley is very happy to finally get her wet food for lunch and lounges in the Arizona sun near our sliding glass doors.
12:50 p.m. Work on article revisions for a manuscript that was submitted to Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy. This was an interesting project that I worked on with a college of pharmacy faculty member from our Illinois campus, her resident, and other collaborators from the Chicago area. It’s always nice to receive revisions for an article when the first reviewer starts their comments with, “Well-written manuscript with only a few minor suggestions!”
1:23 p.m. Still working on article revisions for the project in R by re-running analyses and adding in a few extra tables by an additional subgroup analysis. I’m thankful I always document my R code well since the previous analysis I conducted for this project was over two years ago!
2:40 p.m. Finally finish the revisions needed for the statistical analysis and methods section of the article and send off my edits to the faculty member. I send the faculty member and resident best wishes for positive feedback from reviewers and hopefully an accepted article in a few more months.
3:00 p.m. Finish with some final emails before transitioning to checking in on my online business analytics course.
3:23 p.m. Answer student emails about an assignment on marketing analytics that requires creating a pivot table chart in Excel to look at total sales revenue over time for a small business.
4:02 p.m. Prepare to record a lecture for the course focusing on predictive analytics for finance.
Paisley peers over Charlotte’s computer to remind her it is time to take a coffee break.
5:14 p.m. Finish the recording and upload the lecture to Canvas for the module next week.
5:35 p.m. Finish work and relax on the couch for a bit of reading from my new fantasy book before starting to make dinner.
7:02 p.m. Enjoy a lovely evening walk with my husband in the nice dry 90-degree heat of the desert!
8:00 p.m. Watch the latest episode of a beach home renovation show and pay attention to Paisley, who feels I have ignored her all day.
10:25 p.m. Head to bed feeling accomplished about my day!*
*This typical day was written about a few days before giving birth to my first child, so my schedule changed entirely with taking care of a new infant! 😊
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