The Convergence of Intellectual Property and the Data Sciences

Hosted by

We are very pleased to share with you this exciting seminar that will be held on April 27th at Stanford University. Jason Novak and Roger Kuan, two partners at K&L Gates LLP, will discuss the importance of Intellectual Property (IP) on software, computational methods and informatics in the life science sector and its critical relevance in this era of data science revolution. They will also offer tips on how leveraging intellectual property knowledge and savvy can further boost your career and profile.


April 27th, 2017. 4:30-6:30pm
4:30 -5:00. Check in. Networking with light refreshment.
5:00 -6:00. Presentation
6:00 -6:30. Q&A. Networking
6:30 -8:00 (optional) dinner with the speaker (details TBD)


M106, Alway Building, Stanford University (details see pdf below).
On Campus parking is FREE after 4pm

Event Fee

The seminar is FREE. Registration is required.


  • If attending in person, please send an email to with your name and affiliation to register.
  • If attending online, please follow the link below to register to receive the web link to join the webinar and dial in information (audio).
    Computer system needs to have Flash version 11 or higher (check the webinar link to download if needed):

The Convergence of Intellectual Property and the Data Sciences



Jason Novak and Roger Kuan
Partners at K&L Gates LLP


Intellectual property (IP), especially patents, has historically been an area of focus for life sciences companies and a keystone to establishing value for smaller companies and fortifying market presence for larger companies. Traditionally, the patenting of software was not a focus for life sciences companies. However, with precision medicine, companion diagnostics, bioinformatics, and other similar industries within life sciences emerging the last decade, the importance of software IP and its associated laws is becoming front and center. Rather than being an ancillary consideration within the world of life sciences IP, software IP has taken on greater importance. But software IP and its laws are much different than the IP considerations the vast majority of practitioners in the life sciences are familiar with. To understand software IP, one must first understand the different types of IP, how those types impact the data sciences, how to recognize inventions in those fields, how to defend one's products from other software IP, and so on.

Sponsored by DahShu