Here is a curated collection of my latest GitHub projects. Feel free to use or contribute to any of them!
My publication record can be found on .
As a researcher, I am always on the lookout for new and exciting challenges to take or collaborate on, as they provide opportunities to learn and grow.
If you would like to connect, please reach out via 
- CityLearn MAD CATS: Our implementation of a solution for the NeurIPS 2022 CityLearn challenge, featuring novel ideas for multi-agent, distributed control tree search. These techniques allowed us to effectively explore and exploit information from the relatively far future.
- absDL: A codebase that enables single-shot absorption imaging of ultracold atoms using deep learning. This project is a U-net implementation supplemented with the image preparation steps required for atomic absorption frames.
- Two is all you need: A fun project completed for the Technion's Deep Learning course (EE046211), in which we used transformers with specialized positional encoding layers to predict information from a third axis based on data from two gyro axes.
- arXiv reformatter: A script that automatically cleans and organizes daily arXiv digest emails using GitHub actions.