Watch POAP mints live!

over 2 years ago

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Swapna Lingala DS&AI, India

Joined Bayer in 2019 and supporting various functions of R&D. Recently moved to DA&AI group.

over 2 years ago

Swapna Lingala DS&AI, India POAP image

I 've met Shanoor at Bayer DS & AI F2F Madrid Event

Great meeting you!!! I am domain SME in Clinical and Healthcare systems.

over 2 years ago

I 've met Shanoor at Bayer DS & AI F2F Madrid Event POAP image

over 2 years ago

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Senior Data Integration Scientist with a passion for Bioinformatics, Databases, and Semantics.

over 2 years ago

Fortunately, I met Christian Senger at Bayer's DS&AI F2F in Madrid POAP image

Position: Sr. Manager, Value & Insights Team: Value, Engagement & Training (VET) Dep.: Product Owner Hub (POH) Location: Wuppertal, Germany

over 2 years ago

I’ve met Klaus at the DS&AI F2F meeting in Madrid. POAP image

I've met Dirk E. at the Bayer DS&AI meeting in Madrid

I'm member of the Product Owner Hub in the Cell and Gene Therapy and new Modalities team. I'm responsible for the lab automation in DDS. In my role as Business Owner of different IT systems I'm working on the digital roadmap of DDS. I'm also member of the CLJ product team and the Digital Chemistry product team. I'm looking forward to meet the colleagues of DS&AI from all over the world.

over 2 years ago

I've met Dirk E. at the Bayer DS&AI meeting in Madrid POAP image

over 2 years ago

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Understanding how compounds affect the disease biology of patients, and which potential side effects could be expected, is one of the core challenges in drug discovery. Transcriptomics (RNA-seq) allows us to measure these compound effects via an unbiased readout of gene expression changes. While „conventional“ analysis of RNA-seq data yields insights into individual compound effects and similarities, deeper connections between principles of compound structure and transcriptome effect elude us. Insights into this connection would help us support project teams with data-driven decision making on compounds. In this pilot, we are bringing together a cross-functional team of colleagues from LST, CMD, SyMOL and DS&AI to tackle this challenge and build a toolkit to enable understanding of ​how compound structure relates to complex gene expression patterns​ and to explore common themes amongst structures or shared off-target/general perturbation effects. This toolbox will become the starting point for other efforts aimed at leveraging multi-omics data in understanding compound mechanism of actions. Artwork created using Stable Diffusion.

over 2 years ago

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

The R&D Digital Fluency Program (DFP) is supporting you with learning offerings to build up competencies and further skillsets around digital technologies to enable a competitive and digitally literate organization. At the Digital Fluency Program, we set ourselves apart by offering learning opportunities created by your peers who understand the unique challenges you face in your job. Our tailored approach focuses on real-life use cases, taking our training far from generic and providing you relevant and impactful skill development. In 2020 we, a small team of four people, started our journey with the DFP as part of the R&D Digital Roadmap. Since technologies are ever evolving and impacting our work environment it is more important than ever to foster a culture of continuous learning and enable future opportunities. Thus the DFP learning portfolio includes something for everyone, regardless of your level of knowledge: It offers general awareness programs to enhance basic digital literacy, self-learning pathways on data analysis & visualization and the ability to access online courses like Coursera via the Digital Curriculum. The team ensured the learning objective was met by piloting newly developed learning programs, making use of cross-functional development, and incorporated R&D specific components prior to a broader roll-out in the organization.

over 2 years ago

I was at the Bayer DS&AI Poster - Digital Fluency Program POAP image