- Graduated from the University of Alabama with a major in pure mathematics and a minor in biology.
- Most helpful course: Intro to Statistical Computing. As someone who only had basic knowledge of R coming in, this course really helped develop the foundational coding skills I use in every other class.
- Summer 2019: Intern with Columbia Care in New York City as a Data Analyst.
“The program is academically rigorous and will prepare you with the technical skills needed to succeed, especially if you take advantage of the out-of-class opportunities. The career team has a surprising number of employment and career development events. These events allow you to make connections and learn the communication skills necessary to set you apart from others in the field of statistics. Networking with people in every discipline can get you very far, especially in a city like New York. If you are unsure about what to do after graduation, hearing from people in different fields is extremely helpful."
- Prior to Columbia: Working at Numerix, a fintech company, as a financial engineer for 3 years. Before that, worked in actuarial consulting at Milliman for two years. Graduated from University of Iowa with degrees in Actuarial Science, Mathematics and Finance.
- Most helpful course: Computational Statistics with Prof Liam Paninski
- Summer 2019: Maintain full-time job as a financial engineer, work on neural encoding with Prof Liam Paninski on the side, and Kaggle hard if there is time.
- Hybrid Program (online/on-campus) and a part-time student.
“Don't be afraid to take on a challenging course. No pain, no gain."
- Peter graduated from Johns Hopkins University in 2015 with a degree in Math. He spent three years teaching parliamentary debate in Korea to high school students.
- Most helpful course in the MA Statistics Program: Applied Data Science STATGR5243.
- Summer 2019: Intern Analyst at Archway Health in Boston
“The best part of this program is the opportunity to collaborate and work with hard-working peers who are highly accomplished. Take advantage of the others in your classes, as well as the dedicated professors.”