Summary
Adam Prada is an AI alignment research fellow and theoretical scientist with 8+ years of computational physics experience, recently transitioning from a postdoc at IST Austria and a PhD from Trinity College, Cambridge. He builds numerical simulations from first principles, having engineered custom C++, Fortran, and MPI packages for quantum dynamics and biophysics and modified LAMMPS source code for large-scale molecular dynamics. Now focused on AI safety, he is stress-testing inoculation prompting methods with SPAR Research and collaborators at the Center on Long-Term Risk, applying a statistical-physics mindset to robustness and agency questions. He combines deep expertise in rigorous numerical modeling and parallel computation with practical mentorship experience, and brings a rare background bridging molecular-scale simulation and formal approaches to machine intelligence.
8 years of coding experience
Master of Science (M. Sci.), Natural Sciences - Chemistry, Master of Science (M. Sci.), Natural Sciences - Chemistry at University of Cambridge
English, Czech, German