Rebecca Chesney
Kelly Athayde Wirka
Nick Brown
Nick Brown is currently the Executive Director of Imaging and Data Analytics, working in AstraZeneca’s Clinical Pharmacology and Safety Sciences department. Nick joined over 20 years ago with a genetics and bioinformatics background to build predictive models for toxicogenomic and pathway data. Since then, he has built imaging platforms to screen high-throughput content screens and search platforms to process hundreds of millions of scientific documents in seconds, enabling drug repositioning and Key Opinion Leader identification. Additionally, Nick setup technology incubation labs for our Chief Technology Officer - focussing on bringing the latest external innovation with tech giants and scientific start-ups into AstraZeneca. He subsequently built a team of over 100 AI engineers, delivering cloud AI platforms and AI services, including knowledge graphs, deep learning, natural language processing and computer vision projects. He currently leads an Imaging and Data Analytics team that consists of both wet and dry labs, pioneering novel technology to today’s immediate business needs.
Bhavik Chouhan
Soren Bertelsen
Søren Bertelsen holds a master in medicinal chemistry from Aarhus University and a phd in organic chemistry from the same university (awarded with the AUFF phd prize of 2010). After a postdoc at Skejby University Hospital, doing ex vivo chemical experiments and analytic development, he got hired at Novo Nordisk in 2010. Working as a process chemist in the early research laboratories, Sørens tasks included process optimizations and greenification of the choices of reagents and conditions. As a process chemist he became acquainted with DoE and later Bayesian Optimization as a modern way to ensure fast learning and modelling of the parameter-space for chemistry and related fields. In 2020, he transferred to a role in Data Science at Novo Nordisk to further focus on development and sharing of tools for generalized process optimization. Currently, Søren is Director for Process Optimization, working on making robots for autonomous process development. Among others, we have build robots for closed-loop optimization of chemical reactions, ELISA- and LOCI-assays and HPLC-gradients.