January 25-29, 2025
San Diego Convention Center
San Diego, CA, USA
January 25-29, 2025
San Diego Convention Center
San Diego, CA, USA
The NexusXp Short Course is designed to provide the framework, skills and knowledge to assist participating organizations in the design and implementation of automated laboratory workflows that can be tightly integrated with modern AI machine learning strategies.
Under the guidance of skilled instructors, participants will learn about how to analyze and optimize laboratory layouts and come up with sensible scaling to anticipate future developments. Practical aspects of selecting vendors will be covered as well as internal management of expectations.
An introduction to AI principles will be provided and ways to selecting optimal machine learning strategies will be explained. Finally, examples of solutions with a focus on DMTA (Design-Make-Test-Analyze) will be presented and discussed.
Those looking to move their labs into the future of laboratory automation and machine learning, including:
Attendees will learn how to:
Donat Elsener
Innoco & Hamilton Storage
Donat Elsener, Managing Director at Innoco GmbH and Senior Sales Manager at Hamilton Storage, has served as a business process analyst and project manager for multi-million laboratory automation projects around the globe. Past projects include high-throughput screening (HTS) systems for major pharmaceutical and biotech companies and development projects for laboratory automation vendors. Elsener is an experienced presenter having delivered hundreds of presentations for laboratory automation projects around the globe.
Phil Hopcroft
AstraZeneca
Philip Hopcroft is an Associate Principal Scientist at AstraZeneca. After working at Manchester University for several years, he joined AstraZeneca in 2001 in the Cancer and Infection Department focusing on oncology projects spanning the drug discovery timeline, from hit identification to lead optimisation and candidate drug nomination. On formation of the Discovery Sciences department, he has focused on cell assay development, profiling and mode of action studies, with particular specialism/interest in high content imaging and automation. He is heavily involved in driving the strategy/use/uptake of automation in DMTA assays, leading a cross functional team of automation superusers to test, maintain and steer the development of systems. Hopcroft was also instrumental in planning the build of new automated systems/lab design to ‘future proof’ delivery for the next chapter of drug discovery on the 2024 move to the AZ DISCovery Centre in Cambridge (UK).
Joe Webb, Ph.D.
Vitality Robotics
Joe Webb, Ph.D., obtained his bachelors from Iowa State University where he conducted preclinical trials for enzyme replacement therapies for mucopolysaccharidosis and neurodegeneration. Webb was a research fellow at the Mayo Clinic studying metabolic diseases obtained his Ph.D. at Iowa State University in Molecular and Biochemical Nutrition. He was an NSF Graduate Research Fellow where he applied machine learning to examine genomic underpinnings of neurodegeneration across drosophila, rodents and humans. After his Ph.D., Webb conducted a translational internship with Kingland Systems evaluating international data management programs against the DMM and DCAM while deploying real-time machine learning models on AWS for the SEC. He then started his own consulting firm working with biotech companies to implement machine learning for automating data analysis and was asked to lead a machine learning program at the USCIS with Attain LLC. Dr. Webb continued his machine learning work with Maximus for petabyte scale biometric identification models and then was recruited to start a machine learning program at Verana Health overseeing two machine learning teams analyzing petabyte scale clinical data.
Webb now serves as Founder/CEO of Vitality Robotics where he designs machine learning powered surgical robotics to automate preclinical workflows and is scaling Labtools.AI, a SaaS platform to empower.