Jeremy discusses the early days of using MQTT and how it was implemented in their research project. They were part of a grant program focused on using computers to aid research, and they focused on automating and improving experiments. They worked with experts in various fields, including communication protocols, and Andy Stanford-Clark introduced them to MQTT as a way to efficiently send and record data from their experiments. They had to wire up their own sensors and use A to D converters to collect and convert the data. They also discussed the importance of curating and managing the data collected. In this conversation, Jeremy and Brian discuss the digitization of lab equipment and the use of sensors and cameras to extract data. They explore the benefits of remote monitoring and the integration of data into virtual models. They also touch on the challenges of monitoring and maintaining equipment, as well as the role of intuition and creativity in scientific research. Overall, the conversation highlights the importance of combining technology with fundamental scientific knowledge to enhance experimentation and data analysis.