I am a seasoned research leader with over 18 years of experience studying human-technology interaction. I bring deep expertise in tackling issues of privacy and consent, fairness, inclusion, accountability, and transparency—as they relate to AI experiences. During my career, I have directed human factors research for several novel and complex applications such as Microsoft's custom neural voice and facial recognition, and Medtronic's Micra™ (world’s smallest pacemaker), Attain™ Performa™ Advanced Quadripolar Lead, and CareLink Encore™ programmer. I wear many hats: research leader, strategist, storyteller, author, mentor, editor, keynote speaker, and sometimes adjunct professor. I have been cited by the American Psychological Association, the Economist, the Portuguese Economic Times, and included in LightHouse3’s 100 Brilliant Women in AI Ethics list, and was also the inaugural Fellow from Microsoft to the World Economic Forum. I have a PhD in Experimental Psychology (specialization in Human Factors and Ergonomics) from Texas Tech University and an undergraduate degree in Computer Science.
Book Editor
After nine years working in the healthcare human factors field, I found a dearth of books for practitioners in the area. This inspired my debut as a book editor. I collaborated with several scientists to create “Design for Health”, a multi-author edited volume, which was published by Elsevier in 2020. This book took a comprehensive look at the critical and emerging issues in healthcare and patient safety, and covers a broad range of topics such as medical device design, workload management, medication safety, designing for self-care, and global health.
Storyteller
After the pandemic forced me to subtract out my social life, I decided to do something meaningful with all the extra time I had. I started a Fellowship with the World Economic Forum to address global issues of modern slavery and ageing. Through that Fellowship, I created partnerships across academia, industry, and civil society, and produced a report that outlined 14 guidelines for designing AI experiences for the ageing population. The first of its kind, the work focuses on a group often left out in conversations about technology: older adults.