I’ve worked with teams spanning many different disciplines and the best results tend to come from a combination of
- Pathologists, remote sensing scientists, or other domain experts who understand the data and how it is collected,
- Data engineers who gather and organize it,
- Machine learning engineers who train and analyze models, and
- Software engineers who bring all the pieces together and create a robust system.
Due to the interdisciplinary nature of teams, communication is key.
I can help you in building this team. We start by setting reasonable goals for the project and determine the resources needed. From initial models, I then assess possible next steps including gathering and labeling more data, cleaning data, extending models, and improving computational efficiency. More resources (human or computer) may be needed as the project progresses.