The rise of interdisciplinary and no-boundary engagement has created a need to train the next generation of No-Boundary Thinking (NBT) scholars and practitioners. So it is essential that students be provided with NBT experiences in the classroom and through group-based research experiences. Our no-boundary community has offered a first generation of classes to provide an environment where students can engage in no-boundary projects and exercises, and reflect upon the nature of this type of thinking and problem solving. The following five classes were first offered in fall 2015 through spring 2018 at four institutions for undergraduate and graduate students. The experience has been enriching for both students and faculty. In all cases the courses have been well received by the students and institutions, and most instructors plan to continue to provide the classes as permanent offerings. We describe the early offerings of each class.

Ideal healthcare should provide prevention and treatment strategies in the context of individual variability. The promise of genomics and big data for understanding the complex disease etiology and development of treatment strategies for translating research findings in a laboratory setting to the bedside requires a paradigm shift in how we conduct biomedical research. The take-home message from the Human Genome Sequencing Project is the need for a bold vision, even in the absence of a clear path. The No-Boundary Thinking (NBT) approach that advocates a scientific dialogue among individuals with varying expertise in a “discipline-free” manner at the problem definition stage is a pragmatic approach to leverage big data for precision medicine. Genomics big data as it pertains to understanding the molecular function of genes and proteins is discussed in this chapter. We also discuss the challenges in the adoption of NBT to genomics research.