Represented Fortune 500 companies, including Uber, Apple, and Genentech, in wide variety of high technology and life sciences matters, including autonomous systems, smartphone technology, antibody engineering, medical devices, mobile device management, and analog and digital television technology, including offensive and defensive representations, competitor suits and non-practicing entity litigation, and joint defense groups and sole representation. Member of four trial teams. Lead large teams of attorneys and legal assistants in discovery, deposition preparation, motion practice, expert reports, and trial preparation. Created strategies leading to favorable settlements. Successfully argued motions in federal court. Drafted and revised pleadings and substantive briefs. Prepared fact and expert witnesses for deposition and trial testimony. Defended and took depositions in multiple cases. Engaged in extensive meet and confer with opposing counsel on various issues. Conducted multiple witness interviews for initial fact gathering and important motion practice. Managed local counsel in various states. Coordinated both offensive and defensive discovery, including preparing discovery requests, responses, correspondence, and motions. Oversaw large-scale document collection and production, including in foreign languages. Client Advisory & ManagementServed as primary client contact in numerous cases; advised senior management, including in-house counsel, regarding substantive and procedural matters, including strength of substantive positions and compliance with applicable statutes and rules, as well as business matters related to litigation. Created strategies leading to favorable settlements.Prepared litigation budgets and reported regularly to in-house counsel regarding accruals vis-à-vis budgets. Worked with vendor to automate budgeting and billing processes using artificial intelligence.

Validated implementation of financial mathematical models for investment risk forecasting, portfolio optimization, and performance attribution on both the portfolio and enterprise-wide level.Programmed in Matlab and Visual Basic to ensure correct risk predictions from multi-factor models developed from quantitative financial market data.Provided client support for portfolio managers and pension fund managers on use of risk management software, addressing issues on product usage, theory, and data.