Vern R. Walker
Professor of Law and Director of the Research Laboratory for Law, Logic and Technology
B.A., University of Detroit
M.A., Ph.D., University of Notre Dame
J.D., Yale University
Prior to joining the Hofstra faculty, Professor Walker was a partner in the Washington, D.C., law firm of Swidler & Berlin. His practice included representation before state and federal administrative agencies and before courts on judicial review of agency actions. His administrative practice focused primarily on issues concerning public health, safety, and the environment. He also represented clients in civil litigation alleging products liability and toxic torts.
Professor Walker has a doctorate in philosophy, with specialization in knowledge theory, artificial intelligence, deductive and inductive logic, and the conceptual foundations and methodologies of the sciences. His doctoral dissertation was on the perception of objects by biological and mechanical systems. While in law practice, he worked extensively with expert witnesses and scientific evidence, and he co-authored the book Product Risk Reduction in the Chemical Industry. Since joining Hofstra, he has published extensively on the logic of legal reasoning and factfinding, on the design of factfinding processes, and on the use of scientific evidence in legal proceedings. His writings explore the substantive topics of risk assessment, risk management, and scientific uncertainty.
At Hofstra, Professor Walker teaches courses in scientific evidence, torts, logic skills for legal reasoning, products liability, administrative law, and European Union law. He is on the editorial boards of the journals Artificial Intelligence & Law and Law, Probability and Risk, as well as on the editorial review board for the International Journal of Agent Technologies and Systems, and is a past President of the Risk Assessment and Policy Association. He has been a consultant to both private and governmental institutions, in both the United States and in Europe. He also designs computer software that captures legal knowledge and models legal reasoning, and he explores ways to use logical analysis and artificial intelligence in his teaching.Click Here for Personal Web Page