VRM starts with drug R&D. The same risk architecture extends wherever biology meets decisions.
Kill failing programs before they cost billions. Debug drug logic at the design stage, not in Phase III. Target selection, trial design, go/no-go decisions.
Right treatment for the right patient. Patient-specific risk profiles built from the same engine.
Audit-ready outputs for FDA Model-Informed Drug Development submissions.
Predict adverse effects before exposure. Model toxicity pathways with traceable logic.
Mechanistic disease understanding. Hypothesis-driven causal modeling.
Ph.D. candidate at UIUC. Dual background in nuclear safety engineering (Probabilistic Risk Assessment) and biomedical informatics. Designed VRM by transferring 60+ years of PRA methodology to disease and drug modeling. Built the engine, the interface, and the trust layer.
Data Scientist, pharma industry. Ph.D. candidate.
Professor, Information Science & Health Innovation, UIUC.
Professor, Comparative Biosciences & Cancer Center at Illinois.
Get in touch to learn more about VRM.