My #StatStud Starter Satchel Set-Up

The format for today’s blog post has been graciously borrowed from the Uses This website. This website hosts a collection of nerdy interviews asking people from all walks of life what they use to get the job done. I first stumbled upon this type of blog post on Hilary Parker’s old blog (ummm…I don’t think there’s a part 2?). Finding this blog post as a fledgling statistics PhD student was highly informative. What DO we all use to get our research done? I’m pretty certain if you asked grad students in my department they’d give  (at least slightly) different answers every time. And that is most certainly true as you get into most specific focuses (i.e. genetics data, theoretical statistics, etc). The outline below is certainly not the only/best set up, but it’s what I’ve got going on.

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Who are you, and what do you do?

I am Meridith Bartley, one-half of Sweet Tea, Science, and I am an ecological statistician. Ecolostician? Staticologist? I studied biology and ecology for a bit (well….six and a half years!  I have a Master’s degree in Wildlife Science and a BS in Biology) and now I am in my 5th year as a PhD student in the Statistics Department at Penn State. I’ve written about my experiences, daily life, tips, and reasons for this change of field a few times on this blog. I’m currently working on two projects: one looking at modelling the feeding interactions of laboratory ants we have video monitored (so much data!) and another exploring how to identify when one might be extrapolating in a multivariate response model with a neat application to lake water quality data. I spend most of my time writing code and manuscripts and trying to understand what the heck it is I am coding and writing. Almost all of my work is done either on my computer OR on scrap pieces of paper, which hopefully end up copied over to my “lab” notebook. Continue reading “My #StatStud Starter Satchel Set-Up”

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What’s In Her Bag: International Conference + Honeymoon Edition

At various points along your PhD journey it can seem like life ceases to exist beyond your pile of papers, monitors full of code, or wall of caffeine. Sometimes it may be hard to find the time to venture outside your office, let alone your town, state, province, country, etc. In this and many other regards, the academic life is not without its stresses and pitfalls, but the opportunities to travel for conferences and research are some of the best parts. The bi-annual International Statistical Ecology Conference (ISEC) has been on my radar for some time, and I couldn’t pass up the opportunity  to extend a trip to St. Andrews, Scotland into a full fledged honeymoon around the Scottish highlands. According to my twitter profile, I’m often a traveler, and I think I’ve developed a few good packing practices I would love to share with all of you.

Me and Darling Husband

Nearly five years after my last European adventure, I’m once again packing my trusty 60L pack and jetting off, only this time with my darling husband accompanying. When packing for this trip there were several considerations at the forefront of my thought process. I knew how I packed for my 3 month long European trip 5 years ago thanks to this previous STS post. While I ended up packing a few of the same items (!!), this trip has a different focus and thus different packing needs. First, I needed conference clothes as well as clothes for hiking and exploring and I wanted to look super cute as often as possible because I am a proud fancy scientist.

Luckily, since I am so used to packing for research/camping related trips, I am not disappointed by the lack of space for super cute clothes. ~ Meridith circa 2013. My, my how I’ve changed.

Next, I wanted to pack a few things to help reduce my carbon footprint while traveling (even though flights are a big one! Two quick links about carbon offsets: why and Rachel’s recommendation for where to buy). Finally, while we aren’t truly backpacking, I did need to consider weight. Admittedly my packed ended up way heavier than I anticipated, and as I’m writing this post I’m noticing some areas where I could maybe, sort of, perhaps packed less. A thought I will not admit to my husband. Ever. My pack is perfect.

What’s in my Gregory bag? Continue reading “What’s In Her Bag: International Conference + Honeymoon Edition”

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”