Join us at GraphTalk Pharma in Munich
Join us for an insightful event exploring the transformative potential of graph technology in the pharmaceutical and life sciences industries. This gathering will bring together industry leaders, researchers, and technology experts to delve into the cutting-edge applications of graph databases and analytics. Discover how graph technology is reshaping drug discovery, personalized medicine, patient data management, and supply chain optimization. Gain valuable insights into the latest innovations, success stories, and best practices that are driving advancements in these critical sectors. Don't miss this opportunity to unlock the power of graphs in Pharma and Life Sciences.
Agenda
09:30am Registration with Breakfast
10:00am Welcome
10:10am Opening Keynote from Neo4j: From Target to Product – Accelerating the Drug Lifecycle with Knowledge Graphs
10:40am Deutsche Zentrum für Diabetesforschung (DZD): Empowering Clinical Insights: Knowledge Graphs with the OMOP Common Data Model
11:10am Dewpoint Therapeutics: Condensate-targeted drug discovery powered by graph technology: Combining cellular phenotyping and transcriptomics
11:40am Morning Break
12:00pm Whiteboard Session
01:00pm Lunch & Networking
I build data solutions for pharma & life sciences. Leveraging AI, Knowledge Graphs, and LLMs, my focus is on addressing real-world challenges. It's not just about the tech, but the problem it solves. With a deep dive into the domain and leadership in projects, I ensure impactful outcomes.
Dr. Alexander Jarasch is Technical Consultant for Pharma and Life Sciences at Neo4j and a board member of HealthECCO, a non-profit organization. With a background in bioinformatics, his career extends across several industries, including chemistry, biotech, pharma and IT. He has expertise in machine learning and data engineering, combined with his deep domain knowledge in pharma.
As a scientist, I am curious about emergent phenomena. This is derived from my studies of non-linear and collective dynamics. As an engineer, most of my work consisted in developing computational models, later validated through experiments. Thus I have worked both as a theoretician and experimentalist, with experience modeling and cell biology. I have served as the link between groups at a medical center and engineering department, teaching me to navigate interdisciplinary projects. As a professional, I seek to utilize my abilities in an efficient collaborative environment in applied science.
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