Hello everyone, I’m Leandro Javier Rivadeo, originally from Argentina and currently based in Canada. My background is in healthcare ecosystem management and AI-driven data flow development across LATAM.
I have been closely studying AlphaGenome, and I am especially interested in its ability to predict multimodal regulatory effects from genetic variants. While most current applications focus on pathology and oncology, I would like to explore a different direction: translational research in healthy humans and athletic performance.
I have been working on proof-of-concept ideas around variants such as RBFOX2, comparing predicted effects across tissues such as neuronal cells and immune system T-cells, with the long-term goal of studying possible links to coordination, fatigue response, inflammation, recovery, and injury risk.
I am interested in forming a small working group or consortium to develop a real-world athlete cohort, from amateurs to elite performers, and to use AlphaGenome’s Batch Variant Scoring to compare predicted molecular effects with real performance and injury outcomes.
I can contribute cohort management, study design, and data analysis pipelines.
If anyone here works in computational biology, sports physiology, genomics, or translational medicine and is interested in collaborating, I would be glad to connect.