A numerical platform for the digital design of pharmaceutical processes
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Updated
Sep 25, 2025 - Python
A numerical platform for the digital design of pharmaceutical processes
A Python package describing Stochastic Nucleation of Water in vials
SolMod is a package used for the prediction of solubility focused on creating ternary phase diagrams for pharmaceutical solubility of enantiopure drugs.
pen-source GxP-compliant predictive maintenance platform for U.S. pharmaceutical supply chain resilience. Aligned with Executive Order 14017. DOI: 10.5281/zenodo.19310968
Research companion: Heuristic scheduling strategies for single-reactor pharmaceutical batch production under uncertainty. Statistical analysis (JASP) + visualization (Python). Dataset, scripts, and JASP files included.
ML-driven batch scheduling optimization for pharmaceutical manufacturing. 92.5% prediction accuracy. Statistical analysis with JASP, simulation with Python.
Exploring the intersections of epistemology, Osteopathy and neurobioscience through innovative tools research.
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