Afrah Nazar / Research / How I work
Self-initiated · since 2021 · 4 hrs a weekTeaching Myself to Do This
None of the projects on this page came out of a class.
- 8+researchers cold-messaged
- 2said yes
- 30+papers triaged
- 80+ hrsGPU rented
Reading
Nature, the Journal of General Internal Medicine and Archives of Neurology for the clinical side; Anthropic’s Transformer Circuits thread and the GPT-2 circuit paper for the interpretability side; and peers on Discord for everything in between.
Finding advisors
I cold-messaged more than eight researchers around the country. Two said yes. One, in computer science, has worked with me since March 2026 on how to read and write papers — more than thirty triaged together. The other, in psychology, joined in September 2026.
Learning the tools first
Mostly from YouTube: the Mechanistic Interpretability channel, a walkthrough of the GPT-2 circuit paper, and recorded circuits discussions. Forty-plus hours on TransformerLens and model internals, twenty-plus on Brian 2, three-plus on LaTeX so I could write the report myself.
Paying for compute
Eighty-plus hours of GPU rented on RunPod, to self-host Llama and Qwen rather than depend on an API I could not look inside.
Getting the data
The Pitt Corpus is restricted. I wrote a ten-page proposal and found a teacher to sponsor it. The FlyWire connectome took its own written request.