Xiaoqi Long helps clients in the electrical and computer technology industry navigate patent litigation matters concerning a wide range of innovations.
While summering at Fish & Richardson, Xiaoqi gained broad experience across litigation and prosecution. Her work included drafting motions and memoranda; conducting in-depth legal research on procedural, infringement, and copyright issues; assisting with the preparation of office action responses before the U.S. Patent and Trademark Office; and performing patent analyses to assess potential infringement risks.
Xiaoqi brings a strong technical background to her practice. At the Yale Economic Growth Center, she developed and trained machine learning models and engineered large-scale datasets to improve delivery of national social programs. At Stanford’s RegLab, she designed computer vision systems to extract insights from complex data for use in policy research. Earlier, at Caltech, she conducted applied physics experiments using precision laser techniques to manipulate atoms and molecules in table-top studies of fundamental quantum phenomena. This training across leading research institutions equips Xiaoqi to understand complex technologies and assist clients in protecting and enforcing their innovations.
In her free time, Xiaoqi enjoys figure skating and writing traditional Chinese poetry.
Not admitted to practice in Washington, D.C. Work conducted in Washington, D.C., is directly supervised by a member of the D.C. bar or is limited to U.S. federal courts or agencies listed in admissions or otherwise authorized by law.
