The Bayer Pharma Data Science & Artificial Intelligence (DS&AI) F2F meeting in Madrid was a great event! The motto Connect, Clarify & Commit came to life as we connected during networking sessions, breakout sessions and social events. At the poster session we learned about our progress embedding a product mindset and driving operational excellence, closely collaborating with our partners across R&D. We heard presentations, took part in discussions, unconference sessions, asked questions and shared ideas, setting foundations for the growth of DS&AI beyond 2023. The use of POAPs was a definite social success and I am sure you did not miss Jesús’ enthusiasm as he gave an overview of this new tool. By promoting its use, we drive new ways of using this sustainable and effective tool, ultimately helping to innovate its use by doctors, within clinical trials, for patients and more. There were fun elements as well, like the final night, where our very own flash-mob took to the dance floor and we danced until way past midnight! All this was made possible by the org team: Anke Ebert, Larsen Schnadhorst, Kathleen Thies, Sheila Elz, Stefanie Holt-Noreiks and Claudia Vogt. They have done an excellent job coordinating the event, with the perfect balance of presentations, speakers, entertainment, and networking. Now let us make sure we continue to further the impact we have on bringing innovative medicines to our patients. Sai Jasti, Head of DS&AI https://bayer.com/poap

With the aim of protecting more and more Greek patients, a new product in Cardiovascular Medicine is launched. KERENDIA is now available for patients with CKD & Type 2 Diabetes. Welcome to Bayer Hellas internal Kerendia launch event, focusing on educating & preparing the Sales Team for a successful product promotion in the Greek market. In this event, you familiarized yourselves with the promotional materials & the role plays. This is the first POAP related to a pharmaceutical product. If you received this POAP, you are a True Pioneer in the Web3 space. Bayer is proudly promoting innovative practices. https://www.bayer.com/en/poap-tc

Thanks for for taking the time to complete this survey, It was a pleasure seeing you in Madrid!

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

Hey! I am a Research Engineer (Data Scientist) in DS&AI > Data Assets and Insights Solutions (DAIS) > Scientific Digital Solutions. I am responsible for implementing scientific solutions (namely: Aelixir, cellenium, ChemogenomicsDB, Bambus ...) and integrating data to make it easily accessibly and analyzable across the Bayer R&D Org. Feel free to reach out : dan.plischke@bayer.com My Professional Experience: Data Scientist: R&D Scientific Digital Solutions September 2020 - Present Corporate Student: Business Information Systems Oktober 2017 - Oktober 2020 My Academic Background: Master of Science - MS, Information Systems · (2020 - now) Humboldt University of Berlin Bachelor of Science - B.Sc., Business Information Systems · (2017 - 2020) The Berlin School of Economics and Law

I studied piano performance and toxicology, and am now Master Data Manager at Bayer Pharma in the R&D Master Data Management team of Data Science & AI. I am passionate about team collaboration and rowing. Currently, I'm co-leading the IDMP Ontology, an international cross-industry project with 12 pharma companies for the unique identification of medicinal products to ensure patient safety. Talk to me about common standards and high quality data for better ML and AI outcomes, our next collaboration project, and/or our next jam session at the Bayer Berlin campus.

Nice to meet you!