Resume
A running summary of my schooling, skills, and work — updated as things change, not a fixed CV.
Timeline
- Summer 2026
Started studying AI
- Summer 2026
Started studying neuroscience
To test the brain-inspired thesis with real material, not just intuition.
- Summer 2026
Built Ponder
- Jul 19, 2026
Published "My Perception of AGI"
- Jul 28, 2026
Published "How I Define AGI"
- Fall 2026
Started the RNN Flip-Flop Study
Task generator, both networks, fixed-point analysis, noise-robustness testing, and a final paper draft complete.
Research
- Complete
RNN Flip-Flop StudyRegularized vs. unregularized RNNs on the 3-bit flip-flop task, analyzed with Sussillo & Barak's fixed-point method.
Skills
- Programming
Python (NumPy), JavaScript, CSS
- AI / ML
Recurrent neural networks; building tools on large language models
- Math
Competition mathematics
Independent study
- Program
Neuromatch Academy
An intensive computational neuroscience program covering neural data analysis and modeling.
- Textbook
Neuronal Dynamics — Wulfram Gerstner
Working through the standard text on spiking neuron models and network dynamics.
- Course
CMU 10-733
Self-study coursework — replaced an earlier Computational Neuroscience MOOC with more rigorous material.
Writing
- Jul 28, 2026
How I Define AGIA follow-up essay: a working definition of AGI, how it will come about, and the precautions it needs. - Jul 19, 2026
My Perception of AGIWhy the brain's efficiency may be an important clue for building more general AI.
Competitions & activities