FacultyFaculty/Author Profile

Qin Shi

EdgeTech Law LLP

Palo Alto, CA, USA

Qin Shi is currently the managing principal of EdgeTech Law LLP, a specialty law/advisory firm based in California with a global clientele. She is an intellectual property litigator and also advises clients on transactional matters including cross-border partnerships and alliances. Her litigation and transactional practices cover a range of technologies fields, including computer electronics, digital gaming applications, and biopharmaceuticals and medical technologies. Before founding EdgeTech Law LLP, Dr. Shi has practiced law for over a decade with several large national and international law firms.  She has represented established and emerging companies and institutions in the procurement, transaction, and enforcement of IP rights and has recognized expertise in all aspects of IP and technology law as well as with related regulatory compliance issues.

Dr. Shi obtained her J.D. from Georgetown University Law Center, her Ph.D. in molecular and cellular biochemistry from Loyola University Medical Center, and her M.Sc. in mathematics & computer science from Loyola University Chicago. Her IP and technology law practice is informed by her in-depth scientific and engineering training, and her comprehensive field experience  in research, technology management, product development and marketing in computer, informatics, and life sciences areas. She was one of  the early bioinformaticians and remains close to the new fronts of genomics, pharmacogenomics, and synthetic biology, among other things.

Dr. Shi has widely published and given presentations in law, business, and science, including on topics relating to IP litigation and IP protection strategies for various industries.  She serves on a number of committees of  the American Bar Association, American Intellectual Property Law Association, Intellectual Property Owners' Association, Licensing Executive Society, and also is a member of the Institute of Electrical and Electronics Engineers, International Society for Computational Biology, Endocrine Society, and American Association for the Advancement of Science.


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