Academic Profile

I am a Systems Scientist at CMU LTI working on solving problems in intelligent legal information management and intelligent natural language dialogue systems while also teaching at the institute.

My work is best described as (Legal) Knowledge Engineering or (Legal) Data Science. It draws from artificial intelligence & law, knowledge representation & reasoning, natural language processing, applied machine learning, information retrieval as well as computational models of argument.

I obtained a diploma in law from the University of Augsburg, Germany, as well as a Master of Laws (LLM) and PhD in Intelligent Systems under Prof. Kevin Ashley at the University of Pittsburgh. I went on to work for Prof. Eric Nyberg as a Postdoc before joining the LTI faculty.

Projects

  • The LUIMA project in automated extraction of semantic information from legal texts towards a retrieval of legal documents that seamlessly connects to a lawyer’s understanding of her/his problem. It involves close collaboration with the AI&Law group at the University of Pittsburgh’s LRDC and the LLT Lab at Hofstra University School of Law.
  • The DialogQA project in developing a cognitive agent system able to engage in a question answering dialogue with a user, thereby maintain the conversational and topical context, as well as proactively obtain new information during the dialogue.
  • The VJAP model of value-based formal models of legal argumentation and case outcome prediction, which is my dissertation topic.
  • I co-teach core courses in CMU LTI’s Master of Computational Data Science (MCDS) Program and mentor student project work.

Miscellaneous

I was involved in the Jessup Moot Court Competition for a number of years and taught Public International Law Advocacy at the University of Pittsburgh School of Law.

Publications