Alexander Korenberg#7139

Alexander Korenberg, PhD

Partner, Kilburn & Strode
Described as “Tech maestro with a solid grip on the legal aspects of patent prosecution and extremely technically savvy” (IAM Patent 1000, 2020), Alexander is known to “build futureproofed patent strategies in cutting-edge areas such as AI” (IAM Patent 1000, 2021). He is listed as one of the world's leading IP Strategists in Intellectual Asset Management's IAM Strategy 300 and have co-edited a book on IP Strategy for the boardroom, based on years of experience advising clients on how to make strategic choices in the wider business context. Alexander leads the firm's AI practice and publishes a monthly newsletter on patenting AI.

Alexander has an MSci in Physics from Imperial College and a PhD in Computational Neuroscience from University College London. His particular technical expertise is in Artificial Intelligence (AI) and Machine Learning (ML), having worked at the Gatsby Computational Neuroscience Unit, a centre of excellence for computational and theoretical neuroscience and statistical machine learning. During his undergraduate degree, Alexander read molecular biophysics and medical physics and spent a year in Grenoble, France, working on protein crystallography and molecular simulations. With an academic background and a practice at the intersection of physics, computer science and life sciences, Alexander is perfectly placed to protect innovation in this expanding field of technology.
Contributed to

1

Artificial intelligence and machine learning—an introduction to the technology
Artificial intelligence and machine learning—an introduction to the technology
Practice notes

This Practice Note introduces the concept of artificial intelligence (AI) and machine learning (ML) technology. It considers common definitions and terminology, looks at neural networks and deep learning, and explores common uses and applications of AI and ML and considerations for selecting or assessing ML algorithms.

Practice Area

Panel

  • Contributing Author

Qualified Year

  • 2006

Membership

  • Intellectual Property Organisation, Artificial and Emerging Technology Committee
  • Chartered Institute of Patent Attorneys
  • European Patent Institute

Qualifications

  • EPA (2006)
  • CPA (2006)

Education

  • Imperial College, MSci Physics (1998)
  • University College London, PhD Computational Neuroscience (2002)

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