Maicel Monzon ☕️
Maicel Monzon

Physician, Biostatistician and Data Scientist

About Me

Hello, I’m Maicel Eugenio Monzón Pérez. I’m a physician, biostatistician, and data scientist, passionate about transforming health research through science, statistics, and artificial intelligence. I graduated as a General Practitioner in 2003 and later pursued a Master’s in Health Informatics, the Biostatistics specialty (first and second degree), and finally a PhD in Medical Sciences at the University of Medical Sciences of Havana. Throughout my career, I have worked on the design and analysis of biomedical research, with a particular focus on clinical trials and the application of machine learning models to solve real-world problems in health. I also enjoy programming in R and Python, creating tools that enhance research efficiency and improve clinical decision-making. Today, I share my experience as an Assistant Professor at the National School of Public Health and as a Clinical Trial Reviewer at the Center for State Control of Medicines, Equipment, and Medical Devices. My purpose is clear: to strengthen a more robust, innovative, and evidence-based health system, bringing together medicine, statistics, and technology to generate real impact in people’s lives.

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Interests
  • Biostatistics
  • Research Methodology
  • Data Science
  • Artificial Intelligence
  • Clinical Trials
  • Programming in R and Python
Education
  • General Practitioner (Basic Medical Degree)

    University of Medical Sciences of Villa Clara

  • Master’s in Health Informatics

    Center for Cybernetics Applied to Medicine (CECAM)

  • Specialist in Biostatistics

    National School of Public Health

  • PhD in Medical Sciences

    University of Medical Sciences of Havana

📚 My Research

My research spans a wide range of topics 📚, from the design and analysis of clinical trials and epidemiological studies 🔍, to the development and validation of predictive models for infectious diseases and triage systems 🧠. I aim to integrate biostatistics, epidemiology, and mathematical modeling to generate high-impact results 💭.

I am passionate about programming in R and Python, data analysis, machine learning, and Artificial Intelligence 🤖. My commitment is to advance biostatistics and research that transforms public health through innovative and collaborative approaches to improve people’s quality of life.

I am always open to collaborating on projects that push the boundaries of science and technology in healthcare.

Featured Publications
Recent Publications
Latest Blog Posts

A Classroom Experiment: The Day Silicon Handed Me the Nobel

Sequel to the ‘Lie to the Professor’ experiment. I challenged the silicon colossi with absurd correlations. Not one spotted the nonsense—revealing an algorithmic ‘horror vacui’ that poses a threat to scientific integrity.

Writing Science or Rewriting Reality?

IMRaD is the publication standard, but it need not dictate the writing process. This post argues for a ‘reverse’ writing strategy—from findings back to the introduction—as a method to enhance honesty and clarity, distinguishing it from HARKing and aligning narrative with genuine scientific discovery.

📬 Shall We Work Together?

Interested in research collaboration, statistical consulting, or teaching? I am open to new projects.