For researchers in AI ethics, computer science, philosophy, medicine, law and public policy: empirical and conceptual work on justice, accountability and human agency.
Three connected questions guide the agenda: who bears the consequences, what evidence supports accountability, and where human authority must remain.
My research in AI ethics builds on doctoral work in biomedical knowledge representation and drug–drug interaction inference at the University of Colorado Boulder (2015). I now focus that foundation on justice, accountability and the limits of delegation in AI-assisted decisions.
I design teaching around defensible judgment: a clear question, inspectable evidence, stated limits and outputs students can explain rather than merely produce.
The current CV record includes 40+ peer-reviewed publications. Citation count and h-index are kept dynamic and delegated directly to Google Scholar.
PhD and MS from the University of Colorado Boulder, a visiting/collaborative record with KAUST, and current work at King Abdulaziz University.
I welcome joint projects, independent replication, co-supervision and research or teaching visits when the question, responsibilities and evidence outputs are explicit.