Sasha S. Rao is a patent attorney in the firm’s Litigation Group and has experience litigating patents in district court and at the International Trade Commission (ITC). His practice also includes proceedings before the United States Patent and Trademark Office (USPTO), copyright litigation, and IP licensing. Mr. Rao’s experience spans a wide range of technologies including chemical manufacturing processes, pharmaceuticals, material science, and automotive technologies. He is also a published author on current issues, such as AI and the Sharing Economy (e.g., Uber, Airbnb).
Prior to joining the firm, Mr. Rao was an attorney with American Express. Mr. Rao was also a judicial law clerk for the justices of the Massachusetts Superior Court, where he prepared draft decisions and legal research memoranda in connection with trials, hearings, and motion sessions.
While in law school, Mr. Rao interned at a Boston-based firm, where he drafted responses to USPTO office actions and patent claims for innovations in medical devices, telecommunications, and automotive technology. Also during law school, Mr. Rao interned for the Honorable Joseph A. Greenaway Jr. at the U.S. District Court of New Jersey, where he drafted memoranda on choice of law, class action jurisdiction, and bankruptcy appeals issues.
Prior to law school, Mr. Rao worked under Prof. Christodoulos A. Floudas at Princeton University, developing novel approaches for the ab initio secondary and tertiary structure prediction of polypeptides and proteins. He was also a winner of the 2004 Proctor and Gamble Prize for Process Design.
- Boston University School of Law (J.D.)
- Princeton University (B.S.E.)
- Chemical Engineering
- Registered to practice before the U.S. Patent and Trademark Office
- Proctor and Gamble Prize for Process Design, 2004
- “Improving Access to Patented Humanitarian Products via TRIPS: A Study of the Plumpy’nut Problem,” Michigan State University Journal of Medicine and Law, 2011, 15 MICH. ST. J. MED. & LAW 111 (2011) (Lexis).
- “Computational Comparison Studies of Quadratic Assignment Like Formulations for the In Silico Sequence Selection Problem in De Novo Protein Design,” Journal of Combinatorial Optimization, 2005, Floudas, C.F., Fung, H.K., Rao, S., Prokopyev, O., Pardalos, P.M., and Rendl, F., Computational Comparison Studies of Quadratic Assignment Like Formulations for the In Silico Sequence Selection Problem in De Novo Protein Design, 10 J. COMBINATORIAL OPTIMIZATION 41-60 (2005).