Wendy S. Email and Phone Number

Devised documentation, use cases, design requirements, product requirements, regulatory requirements, and other materials as needed to support the development of internal tools, including a company-wide CDMS.Presented on a weekly basis to senior management regarding the progress of internal product developments, department project timelines, budget, and status of ongoing clinical trial studies.Spearheaded and implemented study protocols, data collection and analysis for 10+ FDA software validation studies and 20+ internal pilots.

Led cross-functional teams to drive validation studies for newly developed product lanes and software feature updates.Served as a liaison between agency healthcare professionals, research sites, and R&D department to facilitate drive of the clinical research pipeline.Partnered with 20+ study sites inside and outside of the US with separate and distinct data handling rules.

Work to bridge the technology gap and promote digital inclusion in the San Francisco Bay Area by connecting underprivileged children with computers, internet access, and digital training. Collaborate with instructors to plan, moderate, and coordinate course material for RRR's educational offerings.Establish partnerships with education programs and corporate volunteer programs to maintain diversity in course topics, increase opportunities for our students, and further our mission.

Provided coding workshops, classes, and education activities for underserved communities throughout the Bay Area, primarily in low-income school districts, to promote diversity in the tech industry and encourage underprivileged student participation in tech. Partnered with Microsoft to deliver technology conferences for our students to gain exposure and network with top Silicon Valley companies. Designed, planned, and carried out curriculums in HTML, CSS, javascript, python, and scratch. Delivered courses at contra costa college, as well as local elementary schools in the Richmond area.

Highly involved with the groundwork of a Ph.D. thesis research on the analytical side, including running participants and making visualizations for reaction time, correction rates, error analysis, etc.Cooperated with other research assistants, recruited participants, collected, compiled, tabulated, and processed responses and analyzed data of 100+ participants to formulate hypotheses about human learning.Developed data acquisition code to support automated testing, large-scale data collection, analysis, and verification.