I've met Rosalind Kan at Bayer's DS&AI F2F Meeting in Madrid, May 2023
Systems Manager based in London, UK. Currently supporting IMPACT (Clinical Trials Management System), CART (Spotfire reporting) and Gemstone (Veeva). Previous experience with reporting support in Business Objects and Microstrategy. Have been working at Bayer since 2006. Degree in BSc Computer Science.
I’ve met Madhuri Myneni at Bayer DS & AI F2F Madrid conference/event/meeting.
I work in DSSS and a Subject Matter Expert in Rave and Integrations
I am a "Senior Insight Solutions Lead" which means that I work in DAIS team and try to generate novel insights for our R&D (and beyond) organization
Bayer R&D Autumn Buffet Day 2
2023-05-02
You have been part of our Bayer R&D Buffet in November, where we have focused on every aspect of our TNN implementation. The food for thought was delicious, the outlook was bright, and our journey together as ONE R&D looks promising! Thank you for being part of our team that helps pathing the way for an inclusive and innovative workspace. Website: https://www.bayer.com/
Nikola Milosevic is a senior computational scientist at Bayer Pharma R&D, Data Sciences and AI, Data Assets and Insights Solutions team. He is passionate about natural language processing, and therefore a creator of Linguist platform, project owner of NLP@Scale project and involved in HubbleSearch project. He also works on relationship extraction from text for knowledge graphs, and large language models (e.g. Fact Finder). Nikola has a PhD from the University of Manchester (CASE project with AstraZeneca), and previous degrees from University of Belgrade. He has experience with few SAAS startups and smaller companies before joining Bayer in January 2020
ChemogenomicsDB (CGDB) and Älixir are prime examples of creating data assets and insight solutions to help improve digital and data capabilities, enhance scientific productivity, and invigorate early pipeline. Using our products, Bayer R&D colleagues can - access to a broad range of data assets essential for solving key drug discovery questions - explore integrated biomedical and chemical data for scientific curiosity, inspiration, and knowledge discovery - generate insights with the assistance of interactive visualizations for evidence-informed decision making