Invite Science Day 2026
Innovations, Visions & Technologies
Application of Artificial Intelligence in Drug Delivery, Robotics and Digitalization
On July 8, 2026, INVITE opens its doors for a one-day hybrid event where world-class experts and young INVITE scientists & engineers share insights into the latest applications of artificial intelligence as well as current research in the chemical and pharmaceutical industry.
Our cooperation partners and friends are cordially invited to join us for a day of knowledge exchange, networking and inspiration – including guided tours through smart automation and laboratory environments. Discover how AI is shaping current and future applications across our key research domains.
Program Highlights
Participants can join individual sessions on-site or virtually. Online access links to each session will be provided directly on this page on the event day.
Confirmed Speakers
Keynotes
Reliable Classification Learning by Prototypes – Current Approaches and Challenges
Prof. Dr. Thomas Villmann
University of Applied Sciences Mittweida, Saxon Institute for Computational Intelligence and Machine Learning (SICIM)
Trustworthy AI in Scientific Discovery and Medical Therapy
Speaker to be announced
Drug Delivery
Digitalization of Pharmaceutical Development and Manufacturing: Status Quo and Future Perspectives
Dr. Adrian Funke
Bayer AG
AI use cases in Life Science R&D
Dr. Georg Mogk & Dr. Oliver Staudt
Bayer AG
Bridging Science in Drug Delivery
Research Snapshots from Formulation Technology @ INVITE
Robotics
KI im Engineering industrieller Robotik
Thomas Hohenwarter
Gluth Systemtechnik GmbH
Flexible Robotics enabled by AI and Industrial Ecosystems
Speaker to be announced
Opportunities for Physical AI in Multipurpose Lab Robotics
Speaker to be announced
Digitalization Enabling Sustainability
CogniFlow – Ontology-driven standardization for FAIR data processing
Dr. Gerrit Renner, University Duisburg-Essen
Dr. Ricardo Cunha, IUTA
On the Feasibility of LLM-Based Operator Support in Industrial Control Rooms under Brownfield Constraints
Dr. Heiko Brandt, Bayer AG
Patryk Bakalarz, INVITE
Identification of Low-Intensity Peaks and Single-Event Signals in Mass Spectrometry Data Using Machine Learning – a feasibility study
Dr. Kevin Eckey, Merck KGaA
Aaron Rüthing, TU Dortmund
Registration
Please register in advance to participate on-site or virtually.
Hybrid Event · July 8, 2026 · INVITE Research Center