Peter Sushko

I conduct AI research with Professor Ranjay Krishna at the University of Washington. I earned my Master's degree in Statistics from UW in 2024.

Previously, I worked as a Data Scientist at Neustar, where I developed Machine Learning models for customer attribution, improving marketing efficiency for major clients.

I hold a Bachelor's degree in Mathematics and Economics from Santa Clara University, where I was advised by Professor Frank Farris.

My research interests include Text and Video Generation, Agentic AI, and Statistical Methods.

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Research and Publications

We introduce REALEDIT, a large-scale image editing dataset with authentic user requests and human-made edits from Reddit, enabling models to better address real-world needs. Our model, finetuned on the REALEDIT dataset, shows state-of-the-art performance results and is able to generate extremely high quality edits.

Engineering Projects

Leveraged neural networks and statistical methods to optimize prediction intervals. Implemented Jackknife resampling to construct robust intervals based on empirical error distributions. Designed a dual-network architecture to predict upper and lower confidence bounds, employing custom asymmetric loss functions.

Nonogram-inspired game deployed on Reddit using Devvit. Playable in a Reddit post. Rendering done with TypeScript, user data is collected and stored via Redis API, backend puzzle generation implemented in Python.

Sloop, designed by Tim and Akash, is a browser-based game. It is built with Node.js, initialized using Create Next App and is deployed on Vercel. I contributed additional features and hidden Easter eggs to enhance gameplay and user experience.