People + AI Research (2021–2022) (research lead under Meredith R. Morris, team co-lead 9/22-11/22 until TASC team graduation 11/22)Wellbeing Lab, Google Health (via Medical Brain)(2019–2021) Research lead Health Equity Steering Committee (2019–2022)Health Equity Co-lead (2019-2020)

Teaching assistant for courses: User Interface Design, Natural Language Processing, Introduction to Computer Science. For each, assisted in creating homework assignments, held weekly office hours, supported and delivered lectures, graded programming and written assignments and exams, formulated solutions, managed grades and email correspondence, developed and maintained websites.

Designed, implemented, and presented solution prototypes in a customer demo environment. Integrated IBM software products and services with partner technologies to create demos addressing current scenarios in Retail, Public Sector, and Health Care. Presented solution demos to visiting C-level executives to create novel Executive Briefing experiences. Applied design methods to develop demonstrations based on customer scenarios and task analyses. Applied human-computer interaction and user experience design principles to solution development. Contributed code, documentation and learning materials for solutions. Worked with IBM partners and developed software to demonstrate new, integrated solutions into demo environment. Served as technical mentor of Extreme Blue internship team. Team developed a Rich Internet Application to facilitate navigation through virtual lab environments and venues as well as interaction with virtual demos.

Contributed article and interview content and interaction design (undergraduate internship) Read a writing sample: Vol. 2 / Issue 4, 2002, New York, New York, http://www.toutfait.com

* Responsible AI and Human-Centered Technology Group manager for 17+ person team advancing state-of-the-art (foundational research) in: * Identification of benefits of generative AI on community and societal levels, strategies and techniques for identifying and mitigating risks, harms * Responsible Data: RAI-focused datasets and transparency artifacts for agile classifiers for testing, fine tuning and reinforcement learning; new methods for working with human annotators * Human–AI interaction techniques * Evaluation to uncover and mitigate risks and model failures * Participatory AI: Methods to engage perspectives of communities impacted by AI in R&D Show less

Director of Health Experience and Applications Lab (Hx Lab) in the School of Interactive Computing (http://hx.gatech.edu)

Research combining medical informatics, human-centered design, and AI, with a focus on creating new interactive medical documentation technology. Prototypes and patents include presentation techniques through which medical note content can be recommended during patient progress note creation and new interaction techniques for effectively browsing,...

Worked with a four-person team to develop an executive portal based on WebSphere Portal. Introduced new automated reporting tools, improved alerts and recommendations in Portal environment. Served as user experience design lead, assisted with software design and development. Presented solution to several IBM Senior Vice Presidents. Contributed many patents (filed).

Dissertation research focused on creating the first inpatient Personal Health Record system for patients, including techniques to draw from hospital EHR system to deliver timely, interactive, patient-friendly presentations of medical data and health-related information. Work included iteratively designing and developing graphical data abstraction techniques, automatically-generated summaries, and lay-friendly explanations. To achieve this, I engaged both domain experts (e.g., physicians, pharmacists, and nurses) and "lay people" (e.g., patients and their family members) in studies at two large urban hospitals, to inform and evaluate software design. Taking an end-to-end approach to technology design, I conducted field studies to understand information needs and engaged end-users in iterative design processes. To evaluate technology for a variety of usage contexts and scenarios, I employed experimental and qualitative field-based research methods.