Benjamin Black

I am a computer scientist and software engineer, with experience working in industry and academia settings, with projects in machine learning and high performance algorithms and services.

I learned by creating cool software projects relating to challenges in AI, Computer Systems, and games.

I am continuously motivated to dig into complex problems, explore their full scope, and solve them simple, precisely targeted methods.

Here I hope to share some beautiful complex problems I've encountered and their targeted solutions.

Major Projects
PettingZoo (2020-2021)
Gym for Multi-Agent RL. 200+ Academic citations, 2000+ github stars.
Website
Publication
Code
Accelerating CAS-Offinder (2022)
Accelerating an open source genome fuzzy search tool.
Fast, Simple Rectangular Search (2022)
Using Rust to implement simple, extremely fast data structures and algorithms for rectangular intersection problems
Multi-Agent Arcade Learning Environment (2020)
A multi-agent extension to the Arcade Learning Environment
Publication
Code
Reward Surfaces (2021)
Visualizing the shape of the reinforcment learning objective.
SuperSuit (2020)
General environment transformation wrappers for PettingZoo and Gym. (400+ github stars)
Code
Hybrid chess engine (2019)
A chess engine that attempts to combine the strengths of Lc0 and Stockfish, the two dominant chess engines, and succeeds in certain cases.
Code
Unsupervised Music Classification (2018)
Project exploring music and how to train a network to automatically group similar music together.
Code