Introduction

 The first great data analysts who revolutionized the inference of relationships between variables were biostatisticians, not engineers or traditional statisticians. Pioneers like Fisher relied on ad hoc methods specifically designed to solve real-world biological problems. Advances in mathematical statistics and empirical processes were driven by the need to develop reliable methods for biostatistics, such as survival models and adaptive experimental designs.

Biostatistics has always exceeded expectations in the search for efficient solutions to real-world problems, distinguishing itself from other fields. Today, artificial intelligence (AI) is on the rise and is often seen as the future of many fields of knowledge. However, I firmly believe that the true revolution in healthcare will not be driven only by AI system. By focusing on biological problems and models with a biologically interpretable basis, biostatistics must guide the future of digital medicine. However, as a dynamic discipline, biostatistics must also evolve alongside other fields and adapt to modern data structures and the health challenges of this century.

Chronic disease, aging, and personalized medicine are the key concepts for the medicine of the future. My name is Marcos Matabuena, a biostatistician and mathematician from Spain, currently a researcher at Harvard. In my blog, "Biostatistics Guides the Future of Digital Health," I will strive to describe, analyze, and propose solutions, as well as offer insights and discussions on how biostatistics can address many of the public health challenges facing this century through digital medicine solutions.

As a researcher in the field of biostatistics and digital health, I aim to advance the following objectives through my blog:

1. Disseminate Cutting-Edge Knowledge: I want to use this platform to share and explain advanced concepts in biostatistics and digital health. My goal is to make complex topics, such as conformal prediction, reinforcement learning, and functional data analysis, accessible to a broad audience, including academics, healthcare professionals, and students.

2. Promote Interdisciplinary Collaboration: I strongly believe in integrating different disciplines to address complex problems. Through my posts, I aim to demonstrate how biostatistics can collaborate with technology, medicine, and other scientific fields to drive innovative solutions in public health and personalized medicine.

3. Inspire the Next Generation of Practioners and Researchers: I'm passionate about sharing personal experiences and success stories that can motivate and inspire students and young researchers. I want to contribute to encouraging more people to pursue careers in biostatistics and digital health and to push the field forward.

4. Connect Theory with Practice: Through this blog, I want to highlight how theoretical advances in biostatistics have concrete practical applications. I’ll share case studies and real-world examples that demonstrate the impact of these innovations in the pharmaceutical industry, public health, and personalized medicine.

5. Promote Educational Innovation: I am committed to exploring and discussing the impact of online education and new teaching technologies in the training of biostatisticians. Through this space, I aim to contribute to democratizing access to knowledge and improving the quality of education in our field.

6. Facilitate Debate and Collaboration: My goal is to create a dialogue space where innovative ideas, challenges, and opportunities in biostatistics and digital health can be discussed. I want to foster interdisciplinary collaborations and an exchange of ideas that drives the development of the field.

7. Lead Change and Evolution in the Field: Finally, I seek to position this blog as a guiding voice in the evolution of biostatistics and digital health. My goal is to highlight recent advances, identify emerging areas, and contribute to the growth and strengthening of the field.