T.R.A.C.E. helps people use computer science concepts without first having to learn them through a specific programming language. It turns English pseudocode into executable programs while keeping the focus on logic, structure, and reasoning.
Make programming more understandable without removing rigor.
T.R.A.C.E. is designed to combine the accessibility of natural language with the discipline of structured programming. Users can specify behavior in English, run it in a browser-based IDE, and learn from the logic behind the result.
Build practical AI capacity through tools people can actually use.
The Caribbean opportunity is not just access to AI tools. It is the development of students, teachers, institutions, and workers who can apply AI with clarity and confidence. T.R.A.C.E. is built around that application-first strategy.
Capability
Support AI capability building by helping students, teachers, institutions, and workers use AI productively, creatively, and economically.
Education
Strengthen computer science learning by making reasoning, debugging, and problem solving easier to practice inside a browser-based coding environment.
Region
Contribute to Caribbean human capital by building useful AI tools and exportable intellectual property rooted in education, software, training, and support.
Matthew Wilmot
Matthew Wilmot is an undergraduate student at MIT pursuing a B.S. in Artificial Intelligence and Decision-Making, with interests spanning machine learning, computer vision, data science, and socially impactful AI. His research experience includes work with MIT's Department of Architecture, Design and Computation, where he designs open-source geospatial computer vision pipelines for object detection and segmentation to support real-time deforestation mapping through the DEFORA project.
He has also contributed to MIT's Research Lab of Electronics, processing over 1,000 speech files and improving NLP preprocessing workflows. Beyond MIT, Matthew consults on scientific machine learning for agricultural monitoring in Jamaica and leads AI/chatbot development for El Sol Vida Fun Tours. He is especially motivated by AI applications in global development, environmental monitoring, and human-centered innovation.