Máté Dort
Learning how learning works.
I’m fairly new to research, so I’m still finding my niche — and honestly curious about almost everything. What pulls me most is the brain: how it works, what we can learn by looking inside it, and what intelligence really is — all through the lens of machine learning.
Timeline
- GSU
2026 – present
Georgia State University
M.S. in Computer Science, focused on machine learning and deep learning. I’m a graduate research assistant at the TReNDS Center with Dr. Sergey Plis. I also help run Claridge, giving talks and lectures to help people understand how to use AI systems to improve their lives and knowledges.
- SnS
present
StudynSport
Machine learning & automation consultant. I bring ML and automation into their systems to lift productivity and cut manual work — the automations I’ve shipped have measurably increased the team’s throughput.
- YT
present
YouTube
I make videos — in Hungarian — to help people get comfortable with AI. It shares a mission with Claridge: closing the gap between where AI and machine-learning research and industry actually are and what most people understand — showing how these systems really work, so people can learn, think more clearly, and build useful things for themselves.
- LU
2023 – 2026
Life University
B.S. in Computer Information Systems, finished in 2.5 years. Along the way I tried to launch a startup — TapMate AI, wearable glasses that pair live vision models with GUI agents to help visually impaired people. It failed, but it’s what got me hooked on building. I also entered four hackathons and won three.
Elsewhere