Tech Spotlight: Lab of the Future 2025

Dan’s extensive career includes significant roles at Signify and Philips. At Signify, he worked as Head of Research Americas, leading the Data Analytics and Artificial Intelligence Center of Excellence. At Philips, he held various positions progressively, including leading a research department. Dan's expertise and leadership have been pivotal in driving innovation, particularly in the realms of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT). His work in these areas has not only led to the development of cutting-edge technology but also contributed to more than 50 issued patents, demonstrating his ability to translate complex ideas and concepts into practical, real-world solutions. In his current role at Quantiphi, Dan continues to leverage his deep knowledge in AI, ML, and IoT, balancing strategic vision with hands-on leadership to drive the development of novel technologies and solutions in AI. His current innovation topics include LLMs, Multimodal Generative AI, Digital Twins, Lifesciences and Responsible AI. His team played an instrumental role in Quantiphi’s flagship Generative AI/LLM platform, baioniq.

Vishal Vaddina is a Principal Architect in Machine Learning with experience in setting up R&D units, designing end to end program and leading the execution of research charter to aid in non-linear business growth. Has extensive experience in ideating, developing as well as leading multiple large-scale research and engineering engagements across various industry sectors. Currently leading the Generative-AI Research and strategy at Phi Labs - Quantiphi Research.

Emma Gardener received her undergraduate degree from Trinity College and her Ph.D. in Organic Chemistry from Brown University as an NSF graduate research fellow. She studied under Prof. Jason Sello, where she worked on developing new methodology for the synthesis of antibacterial peptide natural products. In 2018, she joined the Cheminformatics Technologies department as a Technical Application Scientist and is responsible for the commercial licensing of the retrosynthetic design software, SYNTHIA®.