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Lindsey K
- Research Program Mentor
MS candidate at University of Texas at Dallas
Expertise
Mathematics, Computing
Bio
Hi, my name is Lindsey, and I am a graduate student at the University of Texas at Dallas, pursuing a Master of Science in Financial Technology and Analytics. I previously earned a Bachelor of Science in Mathematics from the University of Texas at Austin, along with certificates in Elements of Computing and Scientific Computation and Data Sciences. When considering a career, I wanted to combine my love of mathematics and programming with my interest in the financial sector, which led me toward financial analysis. My areas of interest include applied mathematics, statistical analysis, machine learning, and programming. In my free time, I enjoy spending time outside, trying new restaurants and volunteering at the animal shelter.Project ideas
Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.
Predicting Longevity: Analyzing Blue Zones for Health Insights
Blue Zones are areas of the world where people tend to live longer than average and have lower rates of chronic disease. In this project, a student could analyze the factors contributing to the longevity and well-being of populations in Blue Zones. Moreover, they could develop a predictive model for identifying potential Blue Zones based on various demographic, environmental, and lifestyle factors.
Coding skills
Python, R, MatLabTeaching experience
In my senior year of college I was an undergraduate course assistant for a business calculus course. I worked with a class of 100+ students. I led student discussions and office hours, offering academic support and clarifying course material. I also worked closely with the professor to plan and coordinate coursework.Credentials
Education
University of Texas Austin (UT Austin)
BS Bachelor of Science
MathematicsUniversity of Texas at Dallas
MS Master of Science candidate
Financial Technology and Analytics