Simon is a researcher who has built his career at the crossroads of the laboratory and the landscape — and he does both exceptionally well. His early work in biobanking gave him a rigorous foundation in protocol development, specimen handling, and biosafety for communicable diseases — the kind of hands-on, high-stakes laboratory discipline that most modelers never get close to. That bench experience now fuels something far bigger. Simon Justin has returned to his first love — modeling infectious diseases — but this time with Tuberculosis and Mycobacterium at the center of his focus. What makes his approach genuinely distinctive is his integration of remotely sensed data into disease modeling, pulling spatial and environmental signals from satellite imagery to understand how TB and related mycobacterial diseases move, persist, and spread across populations and geographies. He layers on top of that a command of mathematical algorithms to interpret complex disease patterns — not just to describe what is happening, but to build actionable intelligence that can directly inform streamlined, evidence-based public health policies. Simon is the rare kind of scientist who can go from a biosafety cabinet to a spatial model without missing a beat.