Theodore J. LaGrow

Researcher, Educator, Computational Neuroscientist, ML Practitioner

Hi, I’m TJ, welcome! This site covers machine learning, teaching at scale, and product minded research. I am a Lecturer with Georgia Tech Professional Education and the College of Lifetime Learning, where I develop and teach applied, high-impact courses in the FlexStack program. My teaching spans artificial intelligence, data analytics, cybersecurity, and other emerging technologies shaped by workforce and industry demand.

In parallel, I serve as Instructor of Record for Georgia Tech’s graduate Machine Learning course, CS7641. Each term, I lead more than 1,200 students supported by a staff of over 30 graduate teaching assistants and industry professionals. I oversee curriculum design, pedagogical strategy, and large-scale operations across three semesters each year.

My background spans engineering, business, and research. I hold a PhD in Electrical and Computer Engineering and an MBA from Georgia Tech. I have published work in neuroimaging and optimization, and I co-founded a medical imaging startup that holds a patent and has secured millions of dollars in funding.

Whether building educational programs, deploying machine learning solutions, or mentoring teams, my focus is on creating systems that are rigorous, scalable, and human-centered.

Vancouver, WA · Georgia Tech · PhD ECE; MBA
Machine Learning Computer Vision Computational Neuroscience

Explore

Grants, Fellowships, Honors & Awards

Scholarships & Fellowships
United Way Metropolitan Dallas Healthcare Innovation Grant (Insight Optics, 2022–2023) — $500k/year non-dilutive.
Graduate Research Assistantship Fellowship (2017–2019), GT/Emory BME.
Presidential Undergraduate Research Scholarship (2016–2017), University of Oregon.
UO Presidential Scholarship (2013–2017) · Summit Scholarship (2013–2017) · Intel Scholarship (2013).
Awards
Institutional Winner — Online TA of the Year (2023).
Outstanding Graduate Teaching Assistant Award (College of Computing & ECE: 2020, 2021, 2023).
NSF GRFP Honorable Mention (2019).
Other Recognitions
Sigma Xi Associate Member (2019).
First Place (Team Lead) — NYU/MLB Media Lab Hackathon (2017).

Timeline

2025
Scaled CS7641 infrastructure for diagnostics and assessment; dissertation defense and wrap-up.
2024
Finished multi-year ophthalmic CV R&D; OHBM presentations; shipped tooling for course ops.
2023
Recognition for online teaching; expanded ML course capacity and TA development.

How to Connect

Speaking, collaboration, consulting, or just curious? I’m easy to reach.

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