How Ryvu Therapeutics transformed clinical reporting with Ardigen using the Databricks Data Intelligence Platform
About the webinar
What you’ll learn:
- The biggest challenges in traditional clinical data management and why change was needed
- How the Databricks Lakehouse approach enables real-time analytics, scalability, and AI integration
- The step-by-step transformation journey of Ryvu and Ardigen—from planning to deployment
- Real-world success stories: improved decision-making, predictive analytics, and operational efficiency
- Future trends: the role of AI and LLMs in clinical data and adaptive dashboards
Why to attend:
- Learn from industry leaders – Gain insights from Ryvu Therapeutics, Ardigen, and Databricks experts
- See real-world impact – Discover how real-time analytics is revolutionizing clinical reporting
- Get practical takeaways – Learn best practices for digital transformation and maximizing ROI
- Explore the future – Understand how AI and machine learning are shaping clinical data strategies
Meet our speakers:
Piotr Faba
Piotr Faba is a data management leader in a drug discovery and development space with a proven track record in delivering AI ready, cloud-native and data-centric solutions. As the Director of Software Engineering at Ardigen, Piotr specializes in selecting and integrating innovative technologies to transform life science operations and accelerate decision-making. His expertise spans data integration, machine learning operations (MLOps), and advanced analytics in cloud native or hybrid environments. Over the years, Piotr has successfully led projects that bridge the gap between raw data and actionable insights, unifying diverse datasets to provide automated analytics for stakeholders across life science organizations. Piotr holds a degree in biomedical engineering and has a deep commitment to empowering teams to leverage the power of data for impactful insights.
Rafał Wojdan
Rafał Wojdan is a strategic leader at the intersection of technology and business, specializing in scaling Data Science and AI for transformation. As Director of Data Science at Ryvu Therapeutics, he established and scaled a department that advanced AI maturity, automated clinical trial data management, and developed cutting-edge AI platforms. Previously, as Head of AI at Sotrender, he oversaw R&D and analytics, leading the development of AI products for social media and advertising. With experience at companies such as Allegro, SAS Institute, and Groupon, Rafał brings a wealth of diverse expertise to his work in life sciences. A sought-after speaker at Data Science conferences, he also mentors aspiring leaders and advises organizations on innovating with AI.
Tomasz Zemojtel, PhD
Tomasz assists healthcare organizations and research institutions in leveraging cloud services to drive innovation. Before joining AWS, Tomasz served as the Head of the Genomics Platform at the Berlin Institute of Health (BIH) from 2017, focusing on translating genomic findings into clinical applications. He has an extensive background in genomic medicine, with over 7,000 academic citations and more than 100 publications. Tomasz Zemojtel is passionate about utilizing cloud computing to unlock the potential of large clinical datasets, advancing personalized therapies and integrated healthcare solutions.
Oleksandra Bovkun
Oleksandra, a seasoned professional in the data and AI industry, currently serves as the Senior Solutions Architect and Healthcare and Life Sciences (HLS) lead for EMEA at Databricks. Her expertise lies in guiding organizations to harness the full potential of the Databricks Data Intelligence Platform, with a particular focus on HLS applications.
Throughout her career, Oleksandra has accumulated extensive experience in Data Engineering and MLOps, contributing to various projects, including data platform implementations, large-scale performance optimizations, and on-prem to cloud migrations. Her professional journey spans roles in data engineering and software development across consultancies and product companies. Recently, Oleksandra has collaborated closely with major pharmaceutical corporations, assisting them in realizing their data and AI aspirations.
Oleksandra’s primary objective is to empower companies on their data and AI journey, helping them maximize business value through cutting-edge solutions. As a thought leader in her field, she frequently shares her insights at conferences, meetups, and user groups throughout the EMEA region.
