• Developed anomaly detection algorithms for internet traffic as part of pilot product and created novel methods to prioritize them • Classified malicious internet actors through machine learning models• Utilized big data tools (Spark, Impala) to find disruptions in large flows of internet traffic through automated workflows

• Reduced customer nuisance detections by 50% while maintaining high sensitivity by building and applying machine learning classifier algorithm in R • Enhanced the sensitivity of wafer inspection tools on critical customer defects through novel aperture design, ultimately improving throughput by 400%• Developed extensive set of MATLAB and R scripts to analyze data and discover optimal optical parameters for detecting defects on semiconductor wafers• Wrote Python scripts to control imaging hardware and automate data acquisition

• Developed and patented new processes to scribe and break substrate materials used in LED packaging, then drove software/hardware improvements to successfully sell first prototype• Increased throughput by 300% by characterizing the basic physics of laser scribing to optimize process conditions

* Developed a method for non-contact microrheology to probe mechanical properties of membranes at the air-water interface in collaboration with a UCLA theory group* Developed analysis software in MATLAB and Mathematica to calculate important material quantities* Produced microrheology results that extended funding to project (~$100K)* Initiated project to observe monolayer folding with fluorescent microscopy and wrote image processing algorithms in MATLAB to quantify motion of material around a fold * First dynamical measurements of a monolayer collapsing in folding mode* Polymerized and cross-linked F-actin filaments to create a quasi-2-dimensional film, and correlated its microscopic dynamics to its measured macroscopic mechanical properties* Implemented image analysis techniques to quantify motion of material, discovering a jerk-like response

• Developed curriculum for a new problem solving based mechanics course (Classical Physics Lab)• Taught courses such as: Labview Skills, Advanced Undergraduate Laboratory, Classical Mechanics and Introduction to Quantum Mechanics

• Used femtosecond lasers to characterize dye molecules• Modeled and tested a new type of dye-doped polymer laser, working in an inter-departmental collaboration

• Vacuum deposited metals and organic materials to measure spin-dependent transport properties• Characterized magnetoresistance using a physical property measurement system (PPMS) after cooling with liquid helium