Implementing the “Lab of the Future” today
Name: Gerhard Noelken
Title: Project manager “Lab of the Future”
Dr. Gerhard Noelken studied Human Medicine in Mainz (Germany) and worked as a scientist in Toxicology, Pharmacology and Clinical Research before becoming Head of High Throughput Screening for Aventis in Frankfurt.
After a sabbatical in Molecular Biology with Biotech Australia he took over responsibility for Aventis R&D Informatics as the Frankfurt Site Head in 1996.
Moving to Pfizer in 2001, Gerhard worked as Site Head for Discovery Research Informatics in Sandwich, UK. Since 2007 he was the Global Business IT Lead for Pfizer Pharmaceutical Sciences. Gerhard is a cofounder of the Allotrope Foundation for analytical chemistry data.
In 2016 Gerhard left Pfizer to set-up his own consultancy Data4Lab Ltd.
He now works for the Pistoia Alliance as the Project Manager for “Lab of the Future”.
Gerhard’s key interest areas are:
- Integration of informatics systems along the laboratory work process
- Data Architecture implementation for the analytical data reuse
- Precompetitive Collaboration across the Pharmaceutical Industry
New technology becomes accepted into the consumer market at high speed, the implementation in the Scientific Laboratory still takes significantly longer. Therefore, Pistoia Alliance has picked up the topic of “Lab of the Future” as a strategic theme for 2018 in order to provide pre-competitive support for more rapid implementation of value adding components to today’s laboratory environment.
Within less than a year the Pistoia Alliance Community of Interest on LotF has initiated a bundle of active LoTF projects.
Transforming the Internet of Things (IoT) into an Internet of Laboratory Things (IoLT) is the main objective of the first project. We are evaluating the maturity and usability of IoT in an end-to-end use case, sharing actual data across the industry and analyzing the data using Artificial Intelligence tools. The second project deals with the role of the Analytical Method documentation in the Lab. Translating the human readable protocol into an electronic instruction set in a standard way would hugely improve reproducibility and data quality for experiments from Discovery to Manufacturing.
Our projects transform R&D innovation through pre-competitive collaboration. We bring together the key constituents to identify the root causes that lead to R&D inefficiencies. We develop best practices and technology pilots to overcome common obstacles.
Our members collaborate as equals on open projects that generate significant value for the worldwide life sciences community.