Sterling Baird
I'm the Director of Training and Programs at the Acceleration Consortium @ University of Toronto. I'm passionate about using AI & automation to accelerate materials discovery, and I love teaching about it, too. This involves topics such as machine learning, Bayesian optimization, databases, hardware/software communication, workflow orchestration, robotics, and prototyping!
Fly by walkthrough of the AC Dev Lab (v2!)
Fly-by of the AC Dev Lab
Using Prefect and a raspberry pi to control a lift column
Flexible powering of a device using an auto-retracting cord
SDL101 - Raw
Automating Mechanical Design Prototyping
Ax + Prefect human-in-the-loop Bayesian optimization with slack integration [DEMO]
Make LLMs read the docs by using context7 MCP tool as a VS Code extension with Copilot Chat [Agent]
Bayesian Optimization Hackathon for Chemistry and Materials - An Overview
North Robotics Workflow Automation
Exploring OPTIMEO DoE / Bayesian Optimization [part 2]
Exploring the OPTIMEO Design of Experiments & Bayesian Optimization web app
Wellplate maintenance request using Prefect's and Prefect's built-in slack integration
Self-driving labs enable materials foundation models
Software-orchestrated, human-in-the-loop wellplate maintenance for OT-2 using Prefect and Slack
Python refresher assignment completed with GitHub Copilot Agent Mode
Gradio-based Hugging Face Spaces Web App for an OT-2 Liquid Handler
Color-matching using an Opentrons OT-2 and a wireless (power+data) light sensor tool
Using a Universal Robots UR5e to move a wellplate from an Opentrons Flex to a plate reader
Autonomous liquid handling self-driving lab using a North Robotics N9 and a Cytation Plate Reader
Implementing active learning and workflow orchestration for (partially) autonomous systems
Acceleration Consortium training programs - at a glance