Hello, my name is Jacob Sprouse
I'm a
I'm an undergraduate at Auburn University, working towards a dual bachelor's degree in Neuroscience and Computer Science with a focus on AI engineering. My academic journey blends the complexities of the brain with cutting-edge computational techniques, aiming to contribute to the evolving field of artificial intelligence.
GSoC 2024 ProjectAbout me
I'm Jacob Sprouse an A.I. Engineer and Undergraduate
As a Google Summer of Code 2024 intern for the International Neuroinformatics Coordinating Facility (INCF), I worked on enhancing model development using NetPyNE’s “batch” subpackage. My work involves refactoring the code base for better scalability and user-friendliness. I also aimed to explore and typify the effectiveness of various search algorithms—including random, population-based, and posterior-based approaches—on a diverse repository of models, such as rodent motor (M1), rodent somatosensory (S1), and macaque auditory (A1) thalamocortical circuits. My ultimate goal is to optimize NetPyNE’s capabilities, making them more efficient and impactful for computational neuroscience research.
Github : Jsprouse0
Email : Jms0338@auburn.edu
Degree : B.S. Comupter Science
City : Auburn
Internships/Jobs: Available
Java
Python
C++
Html5
CSS
JavaScript
Education
2023-2026
Bachelor of Science in Computer Science
- Fundamentals of Computing (Java) I
- Fundamentals of Computing (Java) II
- Discrete mathematics
- Calculus I/II
- Data Structures and Algorithms
2023-2026
Bachelor of Science in Neuroscience
2015-2019
High School diploma
Experience
May 2024-September 2024
Google Summer of Code 2024 (INCF)
As a Google Summer of Code 2024 intern for the International Neuroinformatics Coordinating Facility (INCF), I enhanced model development using NetPyNE’s “batch” subpackage. My work involves refactoring the code base for better scalability and user-friendliness. I also explored the effectiveness of various search algorithms—including random, population-based, and posterior-based approaches—on a diverse repository of models, such as rodent motor (M1), rodent somatosensory (S1), and macaque auditory (A1) thalamocortical circuits. My ultimate goal is to optimize NetPyNE’s capabilities, making them more efficient and impactful for computational neuroscience research.