Watch POAP mints live!

over 2 years ago

Loading

I’ve met Tanja at “Bayer DS&AI conference in Madrid

I am working in DS3 heading a team working in the areas of Medical Standards, Medical Coding and supporting Data Compliance topics.

over 2 years ago

I’ve met Tanja at “Bayer DS&AI conference in Madrid POAP image

over 2 years ago

Loading

over 2 years ago

Loading

I've met Karen Geffert at DS & AI F2F Madrid

Data Acquisition Technology Expert (Associate Director) at Bayer Healthcare Pharmaceuticals

over 2 years ago

I've met Karen Geffert at DS & AI F2F Madrid POAP image

I've met Mauro at Bayer's DS&AI F2F in Madrid

I'm part of DS3 group and I work as Process Manager for Technology Application Management

over 2 years ago

I've met Mauro at Bayer's DS&AI F2F in Madrid POAP image

Sai works at Bayer Pharmaceuticals R&D as SVP, Head of Data Science & Artificial Intelligence, DS&AI. His previous experience includes working at GSK, AstraZeneca and Deloitte. Please contact him for any question you may have or just want to engage on any fun topic.

over 2 years ago

I met Sai at the Bayer DS&AI F2F event in Madrid POAP image

At Language of Life, LoL, we combine state-of-the-art machine learning models, bioinformatics and expert knowledge to understand and design large biomolecules (RNA, DNA, Proteins), helping deliver the best drug, faster and cheaper, to address our patients’ needs. Our objectives are, 1) Drug the undruggable 2) Target any modality 3) Efficient Dry lab – Wet lab loops 4) Understand Patient & Disease

over 2 years ago

I was at the Bayer DS&AI Poster - Language of Life POAP image

The Applied Machine Learning Group (AML) strives for the application of a data-driven approach to drug research and development by developing and utilizing best-in-class machine learning (ML) models to optimize R&D processes. The implementation of ML algorithms accelerates drug discovery and a platform to monitor and self-train models enables portfolio view of our capabilities, allowing us to become more focused. We envision to work in a fast-paced setting, we expect to fail quickly and adapt swiftly, all while expanding your ML capabilities. We also believe in making the right choices not only for our immediate team but decisions to build solutions catered to broader R&D. The success at AML will be measured by bucketing the benefit of the developed capability into one or more of these three buckets, (1) Savings in time (2) Savings in cost (3) Generation of new insights

over 2 years ago

I was at the Bayer DS&AI Poster - Applied Machine Learning POAP image

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

over 2 years ago

I was at the Bayer DS&AI Poster - Älixir POAP image