Independent Research & Skill Development – Computational Biology & Python (AI training/evaluation problem construction)
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Designed and validated structured computational biology tasks to support AI training and evaluation workflows. Implemented numerical simulation and systems modeling problems in Python to generate reasoning-focused datasets. Practiced solution validation using Python-based computational methods and documented approaches for reuse in AI evaluation scenarios. • Built multi-step reasoning problem statements inspired by biological systems • Applied Python (NumPy/Pandas/SciPy) for algorithmic modeling and simulation tasks • Verified outputs against computational validation steps to ensure correctness • Focused on data-driven biological inference and sequence/system modeling concepts
2024 - 2024