Depixus SAS, based in Paris, is a life science technology company pioneering a groundbreaking technology based on magnetic force spectroscopy. This innovative technology provides real-time analysis of individual biomolecular interactions at scale, enabling researchers to decode disease mechanisms and unlock faster routes to more effective therapies.

Since joining Amgen R&D in 2018, Zoran Krunic has been at the forefront of applying Machine Learning to enhance patient outcomes and streamline clinical trial enrollment processes, utilizing comprehensive Electronic Health Records and clinical datasets. His pioneering work in the Quantum Machine Learning space, in collaboration with IBM's Quantum team, has been instrumental in integrating machine learning with quantum computing through IBM’s Qiskit platform. Building on these foundations, Zoran has broadened his research scope to deepen the study of quantum kernels, scrutinizing their effects on the variability and reproducibility of small clinical datasets. Additionally, he has launched several innovative projects within the quantum computing sphere. These initiatives go beyond quantum kernels, delving into various facets of Quantum Machine Learning (QML) and the wider Quantum Computing disciplines, all aimed at advancing the integration of Quantum Computing within pharmacology. Prior to his tenure at Amgen, Zoran developed Machine Learning algorithms at Optum to predict hardware and software failures within complex enterprise architectures. He has a strong background in data engineering and systems development, having contributed significantly to large-scale projects at renowned organizations such as Capital Group and ARCO Petroleum. In his current full and part-time endeavors, Zoran is leading the efforts in embracing generative AI technologies, with a particular focus on OpenAI's GPT and Anthropic's Claude models. His work is focused on prompt engineering and its application to code generation, advanced document analysis, and process management, with a commitment to ethical AI practices and data privacy. Most recently, the work has expanded to include reproducibility and the potential for auto-labeling using generative AI. A recognized voice in quantum computing circles, Zoran is a regular presenter at industry conferences and has served on numerous panels discussing the integration of quantum computing and generative AI within the Health Sciences sector, with a firm belief that the integration of these new technologies will be deep and comprehensive. With a Master of Science in Electrical Engineering & Computer Science, Zoran continues to explore and contribute to the evolving relationship between quantum computing and artificial intelligence, fostering groundbreaking advancements in healthcare technology.

Patrick Neal is a Cheminformatics Analyst working for GSK on DNA Encoded Library (DEL) technologies. During his undergraduate degree, he worked in computational chemistry with Professor Steven Lopez at Northeastern University doing materials photo-pharmacology research using quantum chemistry. Patrick now works on building efficient and scalable drug discovery pipelines that leverage big data systems combined with novel cheminformatic tools to impact effective hit calling on DEL screens.