I will be giving a talk at JuliaCon 2021: “Building on AlphaZero with Julia”.
I will be giving a talk at AITP 2021 about my research on applying reinforcement learning to proof search and program synthesis: “Designing a Theorem Prover for Reinforcement Learning and Neural Guidance”.
Julia Computing demoed AlphaZero.jl during their JuliaCon 2020 sponsor talk.
My paper on “Counterfactual Resimulation for Causal Analysis of Rule-Based Models” has been accepted at IJCAI 2018.
I will be an invited speaker at the 7th Workshop on Logic and Systems Biology (Oxford, July 13th), where I will talk about my recent work on counterfactual resimulation.
I am the lead developer of AlphaZero.jl.
- The philosophy of this project is to provide an implementation of AlphaZero that is simple enough to be widely accessible for students and researchers, while also being sufficiently powerful and fast to enable meaningful experiments on limited computing resources.
- AlphaZero.jl is consistently one to two orders of magnitude faster than existing Python implementations, while being equally simple and flexible.
I am also actively developing and maintaining the following programs:
- The Kappa Trace Query Language: a domain-specific language for analyzing Kappa simulation traces.
- The Kappa Counterfactual Resimulator: a library to sample counterfactual traces in Kappa.
- KaFlow: a program to generate causal summaries of Kappa traces.
- Asciimath compiler: a compiler from a variant of asciimath to LaTex, written in Haskell.