I hold a PhD in Medicine with specialization in Immunology and Infectious Diseases. My research background spans molecular and cellular biology, experimental design, and translational biomedical science.
Alongside clinical and laboratory training, I have been working in data analysis, applied statistics, and machine learning. Over the past few years, my work has increasingly focused on understanding how computational tools, AI systems, and analytical thinking reshape decision-making and knowledge workflows.
My professional experience sits at the intersection of:
- Medicine and clinical reasoning
- Research methodology and scientific rigor
- Data analysis and emerging AI systems
- Systems-level thinking across industries
This blog reflects that intersection.
I am particularly interested in how context-aware AI transforms learning, knowledge work, healthcare, and decision-making at scale. Rather than focusing on hype or speculation, I aim to explore structural shifts- how systems evolve, where human judgment remains central, and how professionals can adapt intelligently.
The views expressed here are personal and independent.
Framing the Shift 