Robert is a computational scientist with over 800 citations across a 12-year history of building open-source software in computationally expensive domains such as machine learning, image analysis, and coupled physical processes. His software enables users to freely explore large parameter spaces, pre- and post- process large volumes of data, and leverage state-of-the-art computational hardware. Apart from FreqAI (adaptive modeling) and JaiRevAI (machine learning art generation), Robert's open-source software portfolio includes Melissa (large-scale deep learning), Yade (discrete element method), and SPAM (image analysis).
Elin is a research scientist with a history of designing and managing interdisciplinary research projects, with several successful research proposals and grants for large-scale research campaigns. Her expertise is in scientifically sound data processing and analysis techniques, with a focus on enabling transparent and reproducible results that can be clearly communicated to a broad audience.
Tim is a software developer and cloud systems engineer with expertise in cloud computing technologies. He has experience in deploying and managing large-scale applications, and has been responsible for designing and implementing scalable, secure, and highly-available solutions for numerous organizations.