Meet Paula, a lively Colombian employee of the Machine Learning Research team. She is interested in learning what you do in your daily work and brainstorm how to AI to accelerate drug discovery. She will be excited to talk about AI applications to Cell Painting, Computer Vision, Omics technologies, and Multimodal data in general. If you hear some salsa music playing playing, don't be afraid of inviting her to the dance floor ;)

I work in ALYCE as Tech and Data Lead. I am working towards ALCYE-Spectrum integration from Core side and also involved in Alyce-MIRA use case. I come from Spectrum [Oracle warehouse] background and also work as Spectrum Utility Programmer. I love playing Cricket, Badminton and TT [Ping Pong]. In my free time I listen to Geopolitical news and do Yoga.

I am a Programmer from India with a passion for coding and a deep understanding of several key technologies. My expertise is in Oracle Apps, PLSQL, Oracle Database, Python, and Azure. I have gained experience working with large databases in Core Banking tool, to working with more than 10 million Customer records in Telecom domain, enriching my skills in Performance Tuning. As a technology enthusiast, I am always eager to learn new skills and explore emerging trends in the field with particular interest in creating chatbots. Currently I am working in Spectrum automation utilities, and I love to work in a dynamic environment and enjoy collaborating with other talented professionals to solve challenging problems and drive innovation.

Thank you for connecting! This token shall commemorate our friendship! :)

Benedikt leads the Clinical Data Sciences and Analytics unit within Bayer Pharma R&D in CD&O.

Process Manager for Data Sciences Services & Solutions

The Proprietary Information Management team, PIM, takes care of processes and systems related to either Compliance or Data Governance. Please talk to us if you need help with some cross-functional or collaboration-related topic or if you are interested to learn more about compound-related processes, compliance checks, lab notebook systems and similar things. For more information contact: Friederike Stoll.

The SCLM4Future project together with the PRINCE (Preclinical Information Center) project as well as the CONDAS (Connecting Data for Science) team is an excellent example for a successful cross-functional collaboration between CD&O, RED preMed and DS&AI within Research & Development but also between Platform IT and external partners. Together the team achieved to overcome legacy manual processes, redundant maintenance work, and functional silos by introducing new digital solutions and concepts with a strong collaborative mindset. The newly released SCLM 2.0 (Standard Codelist Maintenance) & PTO (Preclinical Terminology and Ontology) systems will enable our organization to improve the quality of controlled terminologies with regards to standard codelists and codes while reducing maintenance time and effort. This will have a positive impact on the code/codelist consistency across clinical and preclinical, as well as the compliance to regulatory requirements (e.g. CDISC (Clinical Data Interchange Standard Consortium) Controlled Terminology). The approach to share our knowledge as well as our efforts across functions will be an important step to archive our goals to increase data quality, interoperability and reusability – or to make a long story short: to make our data even more FAIR. For more information contact: Daniela Bergann.