VR/AI in Education

Traditional coursework often relies on large quantities of data and complex equations, making it challenging for students to grasp concepts tactically. Augmented reality (AR) and artificial intelligence (AI) can revolutionize education by transforming these datasets and equations into physiologically accurate simulations of real processes, providing students with an intuitive understanding of scientific theories and clinical […]

Training Philosophy

 A major challenge to incorporation of data-science into scientific curriculum is that the scientific method (and training) was developed in an environment of data scarcity (Figure 1A). Within biomedical research, this all began to change in the mid-1900’s with the rise of instrumentation and computing technologies that yielded increasingly large datasets, challenging traditional scientific methods. […]


  All scientific and clinical disciplines are currently “drowning” in an overwhelming amount of information, far more than can be used productively. This issue can be traced to the limitations of human memory, where human working memory is about 10+20 times smaller than the internet, akin to a 1-liter bottle floating in the vast Atlantic […]