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Proshanto Mukherji , Ph.D.

Associate


617-368-2179
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Proshanto Mukherji is an Associate in the Boston office of Fish & Richardson. Dr. Mukherji’s legal experience includes work as a Summer Associate with Fish & Richardson (2008) and with another firm (2007), a Clinical Internship working on patent and technology law issues at the Berkman Center for Internet and Society at Harvard Law School (2007-2008), and work as a Research Assistant to Professor Steven Shavell at Harvard Law School (2008-2009). Included in his experience is representing Boston Scientific in the Northern District of California case, Medtronic Vascular Inc., et al. v. Abbott Cardiovascular, et al., which involved cardiovascular stents. His dissertation research at the University of Rochester focused on Artificial Intelligence methods for the automatic discovery of complex statistical regularities in logical world-descriptions.

Admissions

  • Massachusetts 2009

Other Distinctions

Selected publications
"On Enforcing Viral Terms," 122 Harvard Law Review 2184 (2009).

"FTC v. Accusearch, Inc.," 121 Harvard Law Review 2246 (2008).

Laws in Logical Worlds, published by VDM Verlag, Saarbrucken (2008).

"Discovering Laws as Anomalies in Logical Worlds," Ph.D. thesis, University of Rochester, Rochester, NY (2006).

"State-based Discovery and Verification of Propositional Invariants," with Lenhart K. Schubert, Proceedings of the 2006 International Conference on Artificial Intelligence. CSREA Press (2006).

"Discovering Planning Invariants as Anomalies in State Descriptions," with Lenhart K. Schubert, Proceedings of the Fifteenth International Conference on Automatic Planning and Scheduling. AAAI Press (2005).

"Context-free Languages Can Be Accepted With Absolutely No Space Overhead," with Lane A. Hemaspaandra and Till Tantau, Information and Computation, 203(2):163-180 (2005).

"Computation with Absolutely No Space Overhead," with Lane A. Hemaspaandra and Till Tantau, Proceedings of the Seventh International Conference on Developments in Language Theory. Volume 2710 of Lecture Notes in Computer Science, pages 325-336. Springer-Verlag (2003).

Education

  • BS, New Jersey Institute of Technology 2000
    Computer Science
    summa cum laude
  • PhD, University of Rochester 2006
    Computer Science
  • JD, Harvard Law School 2009
    magna cum laude
    Articles Editor, Harvard Law Review 2008-2009
    Articles Editor, Harvard Journal of Law and Technology 2006-2007

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