Counterintuitively, lacking data in the era of big data is a common problem. We will share our story in approaching the challenge of imbalanced classification for the evidence synthesis. You will have an opportunity to find out about the real-life applications from research papers, tips & tricks from the ML practitioner, and also how we contributed to WHO guidelines for keeping distance and wearing masks during the COVID-19 pandemic.

Mateusz Pieniak has been a graduated in Computer Science at the Warsaw University of Technology since 2017. During his studies he started working as a Data Scientist for various companies in different industries. Currently, he works as a Senior Applied NLP Scientist at Evidence Prime, where he creates AI models dedicated to working on better understanding of scientific literature.