Sophie Greer, Neuroscience, BMC ’23

Coding a Neuroscience Database

Faculty Advisor: Prof. Rebecca Compton (Haverford)

Field site: Van Hooser Lab, Brandeis University;

Field Supervisor: Dr. Steve Van Hooser

Course Description:

This Praxis Independent Study course would explore the basics of computational neuroscience. Through this course, the student will learn about how to facilitate the replication of research studies, collaboration between labs, and storage and analysis of data by helping code the Neuroscience Data Interface, a new database that will help labs store, analyze, and exchange neuroscientific data. The student will learn how to model neurological and neuropsychological concepts with math and computer science, and will learn more about programming languages commonly used in computational neuroscience. The course will involve programming languages such as MATLAB and Python and will hopefully culminate with the student getting their name on a research paper.

Praxis Presentation:

Coding a Neuroscience Database ppt for final blog post

Please click here to access a PDF version of the presentation.

2 thoughts on “Sophie Greer, Neuroscience, BMC ’23

  1. Megan

    I enjoyed learning about your interest in computational neuroscience and your research experience with the Van Hooser lab. I was impressed with the initiative you demonstrated in finding this experience by attending a career fair, following up with recruiters, and reaching out to many institutions which lead to this amazing experience. Congratulations on getting to continue your work with them this summer!

  2. Bailey Hirota

    Sophie, this is so cool! This was my first introduction to computational neuroscience, and I think it’s super interesting. Best of luck this summer!

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