Jeffrey Maxwell Tepper

EDUCATION

College / University

Louisiana State University

Highest Degree

Bachelor of Science, Bachelor of Engineering

Major Subjects

Mathematics, Computer Science

65161-1 Tepper

Country

United States of America

Projects / Research

  • 2019-2021: Lead developer on MENTR social network, a platform to connect graduate students with mentors and other researchers, Louisiana State University
  • 2019-2021: Lead developer in Breach Software, company that developed software for student run businesses, Louisiana State University
  • 2023: Neuromatch Academy attendant in the Computational Neuroscience course
  • 2023-2024: Assistant to the Devision Project, develops software for image enumeration and classification in laboratory settings, Louisiana State University

Scholarships / Awards

2024 – 2025: Stipend by the International Max Planck Research School

SCIENTIFIC INTERESTS AND GOALS

Given my background in mathematics, I have always found great joy in creating models to represent the world, and my interest in the brain follows from this passion. As I began to look inward at the mental models we use to navigate the world, I became curious about the biological machine that makes model creation possible, and I marveled at how such a machine has emerged from billions of even smaller, unintelligent machines. There exists a principle of self-organization that makes life, consciousness, and intelligence possible, and it is my main research interest to explore this phenomenon as it manifests in the brain. As such, I wish to pursue the theoretical side of neuroscience, as well as to accrue experience in the fields of information theory, the theory of complex systems, and cybernetics. From this perspective, I would like to examine how the brain makes sense of hearing and audition, as both music and language learning are lifelong passions of mine. Also, to develop on my background in computer science, I wish to explore how modern machine learning methods can be used to elucidate the immense amount of data made available by modern experimental techniques.