Bridging the Chasm Between Research and Software Development - A Story From a Fertility App

This course aims to help learners understand and address the discrepancies between code developed by scientists and software developers. By introducing the python framework mlflow, participants will learn how to manage the lifecycle of machine learning code effectively. The course covers various examples of challenges faced in bridging the gap between research and software development, providing solutions and discussing remaining challenges. The teaching method involves a recorded presentation from a data scientist, software developer, and agile practitioner. This course is intended for individuals interested in improving the collaboration and efficiency between research and software development teams.