Department of Statistics Unitmark
Dietrich College of Humanities and Social Sciences

Sarah Shy

What is your name?
Sarah Shy

What is your expected graduation year?
May 2018

What are your expected major(s)/minor(s)?
Statistics, Additional Major: HCI

Where are you from?
Newton, MA

What drew you to the Carnegie Mellon Statistics program?
The diverse research applications and backgrounds within the department were enough to convince me of the real-world contributions that are possible. A talk with Howard Seltman during my admitted student visit further painted a picture of how I can contribute to a field that I'm passionate about using my long-established love for Math.

What has been your favorite Statistics class or project so far?
36-401 Modern Regression and 36-462 Data Mining for their hands-on homework assignments with real datasets.

Describe any research experiences or internships that you've had. What did you like best about them?
I spent the summer at the NYU Center for Urban Science and Progress, working on statistical approaches for change detection of aerial remote sensing data. The most interesting challenge I came across was figuring out how to talk about my work and the language to use in presenting my methods to engineering researchers.

What are your current plans for after graduation?
I plan to stay in the academic environment a little longer. I'd like to continue studying Statistics and researching at a PhD program. #foreverastudent

Tell us about any CMU student clubs or organizations in which you are involved.
With a few fellow classmates, I helped found the CMU Data Science Club last Fall. As the Workshop Coordinator, I recruit speakers to give talks on various Data Science-related topics. I am also a pusher on SPIRIT's buggy team.

What advice would you give to an incoming student or new Statistics major?
Don't be afraid to ask for the things you want. Whether it's help, advice, or a research opportunity, go for it.

How do you like to spend your free time? Do you have any hobbies?
Bouldering, traveling, and reading celebrity autobiographies.

Which movie or TV character best matches your Statistics/Data Science personality?
Arya Stark, Game of Thrones

If you could be any statistical distribution, which one would you be and why?
I would be a multivariate normal distribution. It's simply an extension of the distribution that everybody knows and loves.