Catching Up with STS – Meridith Edition

HELLO FRIENDS! It has been a long, tough year since Rachel and I have posted here on Sweet Tea, Science. We’ve tried to keep up with people via Twitter (Mer’s, Rach’s, and the STS accounts) and Instagram (again we all have one!) but we started feeling that blogging itch once more, so we’re back. We wanted to start with updates on our academic and personal lives, because this blog is about the science journeys of two actual living people. We’ve had some highs and lows. Some heart-breaking tragedies and some magical love-filled unions.

Summer 2017

This time last year I was enjoying the perks of summer in Colorado while exploring the in’s and out’s of working in an industry setting. I’ve had many summer adventures/internships/travels, but any work I’ve done has been 100% within the realm of academia. However, via a connection made through my advisor at the big statistics conference (Joint Statistical Meeting or JSM), I landed an internship at an environmental consulting agency. The further along I get in my studies the more certain I am I’d like to explore career options outside of academia; so this was an amazing opportunity.  

I worked with Neptune & Co., a small but growing environmental consulting company focusing on environmental decision making though quality assurance, data science, and risk assessment. As an intern, I helped the other statisticians working on a project modelling the future (millions of years future!) risks and impacts of nuclear waste storage around the US. I loved being able to learn about an important issue from experts in various fields while applying what I’ve been learning over the past few years in my PhD studies.

We focused on the biotic impact portion of the models and worked to use what precious few data are available to create some distributions for variable such as: plant root shape,root depth, burrow depths, etc. All of these factors can potentially bring up buried contaminants if the burrows or roots venture too deep. It’s important to represent these as distributions (e.g. a Normal distribution LINK) rather than a point estimate (e.g. a mean or median) because it allows for more representation of uncertainty in the model.

Also we did lots of hiking and took adorable photos!IMG_7278.jpg Continue reading “Catching Up with STS – Meridith Edition”


Why I Went Full Stats Stud

In honor of World Statistics Day 2015 I felt motivated to write about my own experience with Statistics and my decision to switch career paths from Ecology(ish) to Statistics for my PhD program. One could argue that my current position as a statistician is a result of an intense desire to avoid any more Chemistry courses as an undergraduate student in Biology. My Chem 2 experience was the roughest of my educational experience (the last year notwithstanding) and when I crawled out on the other end I vowed never again. Since a minor in Chemistry was out, I decided to go the Mathematics minor route instead. Why not? I took AP Calculus. I was “good at math”. My second grade teacher told me so. Let’s do this.

Continue reading “Why I Went Full Stats Stud”

Meridith and the Terrible, Horrible, No Good, Very Bad Qualifying Exam

I’ve made my way all the way to the end of my 20th year of schooling without much in the way of seemingly insurmountable challenges. Sure, the post secondary life is peppered with exams (SAT, ACT, GRE), finals, applications processes, and so on, but while all of these have caused me stress in the past, none even compare to my qualifying exams of my PhD program. This past May, after a year of courses and months of studying, I tackled three days of intense examinations which included a day of two 3-hour Stats Theory exams and nearly 48 hours of a take home applied project. I went in with months of studying, waves of support from friends and family (thanks!) , 6 pages front and back of notes to use, and even a belly full of sushi. I come out… completely and utterly defeated.

Failed like I failed to keep it together during
this episode of Dr. Who.

Continue reading “Meridith and the Terrible, Horrible, No Good, Very Bad Qualifying Exam”