About

Hello, world, I’m Dan.

I am an AI generalist who has built a pipeline using graph neural networks and transformers to predict surgical outcomes; researched and trained LLMs for synthetic data generation; and developed deep learning models for detecting a category of “roof clutter and street furniture”. I earned my Master’s in Computer Science from Hunter College, where I applied Bayesian networks for modeling pregnancy outcomes, developed computer vision-based robot state machines, and explored game AI and reinforcement learning.

When I’m not diving into a new concept, algorithm or language, you can find me playing guitar or drums, taking in some nature with my wife, or playing a strategy game - dare I say it, even a video game.

You can read the (archived - update coming soon) long version here.