Applied Machine LearningStatistics

High Sigma Monte Carlo SimulationApplied Machine Learning and Statistics

- Developed numerical algorithms and techniques to improve device model performance and memory footprint for SPICE simulation- Coded implementation of algorithms / device models into simulators (C++/C/Fortran)- Provided timely support to customers’ device model simulation accuracy, convergence and performance needs- Designed and implemented cluster-based test suites to thoroughly validate simulation space (Python/Perl)- Researched advanced and emerging device technologies and modeling

- Implemented a set of tools with functions including DB retrieval/analysis, distributed computation, device simulation/optimization, quality assurance, and reporting; efficiency improvements reduce time to deliver results to customers by 80%. (C++/Perl)- Founding member of area software quality panel which oversees code review and shared library management.- Led 5 engineers in development of IBM’s first high-K metal gate technology.

- Delivered data mining/statistics lectures with focus on KDDCup 2010 winning strategies.- Led model ensemble process for KDDCup 2011; won this international competition again in 2011.

- Coded a FinFET model simulator; utilized simulator to characterize early hardware data. (C++)

- Led cleanroom-based microelectronics processing, research, and instruction.

- Created award-winning cross-site failure analysis software tool aimed at increasing product yield.