Job title: Senior Director, Head of ECD Informatics
Daniel has expressed a lifelong fascination in the blend of healthcare and computing. Learning how to program when 8-bit CPUs were still fashionable, his love for elegant algorithmic solutions has deeply influenced his way of thinking and appreciation for every single bit (or millisecond) to this very day. However, only in Daniel’s mind this deep love for technology translated into becoming a clinically trained MD with primary focus on human genetics and working experience in both, pediatrics and infectious disease. In a seemingly intentional evasion of having to pick a profession after all, Daniel completed a subsequent Masters program in Computer Science with focus on AI and parallel computing. Later on, Daniel figured it would somehow be a good idea to add another Masters in Cybersecurity to his already chaotic life. Daniel’s professional career includes senior scientist positions at the National Institutes of Health and in academia as well as executive leadership positions in various Silocon Valley startups. As the Head of Informatics & Artificial Intelligence (AI) at Genentech, Daniel currently overseas five distinct teams, i.e. Information Management (IMO), Technology Development (TechDev), Systems Operations (SysOps), Predictive Analytics (gPA), and Artificial Intelligence (AI). Regarding his work style, Daniel is a proud and longstanding Linux desktop user, strong advocate for open source, and absolutely passionate about servant leadership. In his free time he likes to build autonomous robots, develop 3D rendering engines from scratch, or cook “old world” food dishes that he learned from his dad.
Panel: Know the Present, Predict the Future 1:30 pm
• Augment processes with machine learning utilizing the research, preclinical and clinical data available • Consider the potential of personalized medicine and the technology required to make early predictions of the “ideal” patient for both clinical trial and treatmentRead more
day: Day Two