• Lead human factors efforts in the new product development and continuous improvement across the Digital, Robotics, and Enabling Technology organization, including defining usability strategy and providing resource assessments for Robotic and AI programs• Design protocols, lead test sessions, and develop reports for qualitative and quantitative evaluations (including formative and summative/human factors validation testing) to ensure user safety and satisfaction• Create human factors engineering documentation, including user interface evaluation plan, use specification, task analysis, risk analysis (e.g., uFMEA), formative and summative protocol/reports, and human factors engineering report• Collaborate with interdisciplinary team of design, quality, marketing, training, regulatory, technical writing, product/program management, and engineering stakeholders in an agile development environment to ensure usability recommendations are considered throughout the design process• Serve as a subject matter expert in human-robot interaction, translating academic knowledge to practical application, and spearheading research efforts• Mentor interns and new HFEs on human factors / usability process and best practices

• Led human factors efforts in the new product development and continuous improvement of Stryker Mako applications and hardware/robotic platforms• Designed protocols, lead test sessions, and develop reports for qualitative and quantitative evaluations (including formative and summative/human factors validation testing) to ensure user safety and satisfaction• Created human factors engineering documentation, including user interface evaluation plan, use specification, task analysis, risk analysis (e.g., uFMEA), formative and summative protocol/reports, and human factors engineering report• Collaborated with interdisciplinary team of design, quality, marketing, training, regulatory, technical writing, product/program management, and engineering stakeholders in an agile development environment to ensure usability recommendations are considered throughout the design process• Served as a subject matter expert in human factors psychology/human-robot interaction, translating academic knowledge to practical application

Select Funded Experience:Project HAPTIC, 08/18 – 12/20, Funding Agency: Department of Navy, Partner Company: Virtual Reality Rehab, Inc.• Led Human Factors effort on Phase I and Phase II SBIR investigating an augmented reality or virtual reality system to improve performance and decrease errors in Landing Signal Officer interfaces • Evaluated off-the-shelf AR/VR technology to determine best solution considering user and use environment• Reviewed AR/VR button and haptic/tactile feedback literature and provided insights that shaped concept selection• Implemented multiple methods, including heuristic evaluation, persona development, cognitive walkthroughs, expert interviews, usability testing (both in-person and remote), throughout design processProject ROBOCOP, 08/14 - 05/18, Funding Agency: Air Force Office of Scientific Research• Led human-robot trust efforts on three-year BAA investigating how people of different cultures (American, Japanese, Chinese) trust, perform, and comply with a peacekeeping robot wielding lethal and/or nonlethal weapons• Assisted with designing scenarios to assess desired constructs and collect quantitative and qualitative data• Recruited and collected data with cross-cultural participants on computer and using VR environment• Published and presented findings to stakeholders, tying academic theory and recommendations for practitioners

PSYC 413 - Sensation and Perception

• Co-led funded effort to investigate potential use for a home organization robot across the lifespan, including conducting literature reviews, focus groups, and structured interviews, developing qualitative data analysis process, presenting design recommendations to corporate stakeholders• Investigated younger and older adults’ trust in robots, human/robot preference, and needs for robots in a range of home-based tasks through semi-structured interviews and questionnaire data