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Faculty Profile

LIM How Khang's photo

LIM How Khang

Assistant Professor of Law and Computer Science (Practice); Director, BSc (Computing & Law) Programme

YPHSLSCISFull-time Faculty

Email
hklim@smu.edu.sg

Research Areas

  • School of Computing and Information Systems
    • Artificial Intelligence and Data Science
      • Machine Learning & Intelligence
  • Yong Pung How School of Law
    • Public Interests Law
      • Legal Systems
    • Technology and Innovation
      • AI and Law
      • Computational Law

Strategic Priorities

  • Digital Transformation

Lim How Khang is Assistant Professor of Law and Computer Science (Practice) at Singapore Management University (SMU), jointly appointed at the Yong Pung How School of Law and the School of Computing and Information Systems. He directs SMU’s BSc (Computing & Law) Programme and is a member of the core team at SMU’s Centre for Digital Law. Trained in both computer science and law, he holds degrees from Monash University and the National University of Singapore, and is an Advocate and Solicitor of Singapore. His research examines how legal rules, reasoning and institutions can be represented and augmented through computational methods. This includes work on computational law, legal natural language processing, machine learning for case-law analysis, smart contracts, smart statutes, defeasible reasoning and digital tools to improve access to justice. He previously led SMU’s Centre for Computational Law, established under a National Research Foundation-funded programme to develop open-source technologies for computational contracting and legislation. Before joining SMU, he served at the Supreme Court of Singapore and the Attorney-General’s Chambers, including in legal technology and innovation roles.
 

Qualifications

  • Bachelor of Laws (First Class Honours), National University of Singapore
  • Master of Information Technology (Minor Thesis), Monash University
  • Bachelor of Computer Science, Monash University
  • Advocate and Solicitor (Singapore)

Courses Taught

  • Digital Intelligence for Lawyers
  • Digital Innovation for Access to Justice
  • Criminal Law
  • Ethics and Social Responsibility

Research Areas / Areas of Specialisation

  • Computational Law
  • Natural Language Processing
  • Legal Technology