Department of Statistics Unitmark
Dietrich College of Humanities and Social Sciences

Corey Emery

What is your name?
Corey Emery

What is your expected graduation year?

What are your expected major(s)/minor(s)?
Statistics and Machine Learning & Human-Computer Interaction

Where are you from?
Long Island, New York

What drew you to the Carnegie Mellon Statistics program?
The CMU Statistics program was an extremely strong and growing program, and I found the statistics and machine learning major could be a great opportunity to explore an up-and-coming aspect of the field. Also, as a prospective student many of the professors and faculty members were very approachable and happy to talk about the program, which was very appealing.

What has been your favorite Statistics class or project so far?
In my freshman Spring, I took 36-198 Research Training with Professor Freeman, a course offered by the department to introduce students to the process of conducting analytical research and presenting the results in an annual symposium. I worked on analyzing images of simulated galaxies and used machine learning techniques to analyze how the characteristics of the galaxies change over time. This was a very interesting and engaging project, and Professor Freeman really took the time to guide me along and make sure I understood each step of the research I was doing.

Describe any research experiences or internships that you've had. What did you like best about them?
In addition to the project listed above, I currently also am working translating segments of R code used for past research publications into Python. The reasoning behind this is that Python is a much more common language in the Astronomy and Astrostatistics fields, and by translating this code it will increase its accessibility to other researchers. This is a great experience because I have a lot of freedom in the work I do. I am able to follow my own schedule and truly integrate this work into my daily life with classes and extracurriculars. It is also extremely relevant for me since I am gaining both statistics and programming experience, which are the two major components of my majors.

What are your current plans for after graduation?
Most likely going into industry or graduate school. But I'm a sophomore so I still have time to figure it out!

Tell us about any CMU student clubs or organizations in which you are involved.
I am involved in Scotch 'n' Soda, CMU's student-run theatre organization, doing work primarily on production staff for musicals and dramas throughout the year. My next goal is to try acting (wish me luck, I'm gonna need it lol)! I am involved with Buggy, a CMU tradition that can be best explained by watching YouTube videos. I'm one of the people pushing the buggy, but we also have mechanics and drivers! I am a first-year RA in (Whose House?) Mudge House! I work for The Tartan, the student newspaper on campus, selling advertisements to fund our weekly publications.

What advice would you give to an incoming student or new Statistics major?
CMU is an amazing university with so many diverse academic and extracurricular options. It's really a unique experience and I definitely recommend branching out and trying something new once you arrive on campus. That being said, also make sure not to overextend yourself. You'll have a much more enjoyable experience throughout college if you make sure you take care of yourself, get enough sleep, and make time for friends and other people who are important in your life.

How do you like to spend your free time? Do you have any hobbies?
I play tennis and enjoy taking a break to hangout and chat with friends.

Which movie or TV character best matches your Statistics/Data Science personality?
Olivia Pope. She's shrewd, quick-witted, and willing to attack a problem a million different ways ("Over a cliff") if her gut tells her something's there to find.

If you could be any statistical distribution, which one would you be and why?
Student's t-distribution, because based off my number of degrees of freedom, I can take on an infinite number of shapes. Sometimes I can be really close to normal, and other times I may look a little more flattened out. It really just depends on the sample size that day.