Collaborates on 3 concurrent projects with the Air Force Office of Scientific Research, Defense Advanced Research Project Agency, and Irregular Warfare Center. Responsible for incorporating human systems engineering principles to research design, human factors and user experience research, and reporting.

• Develops normative design principles by interviewing domain experts, conducting thematic analyses and modeling workflow innovation using cognitive task analyses

• Performs field studies to collect biobehavioral and performance data to develop real-time measurement systems based in machine learning and complex systems science

• Designs, runs, analyzes, and writes reports on experiments related to how trust and distrust spread in and across human-AI teams and multiteam systems

• Developed a real-time predictive model of trust and distrust in human-AI teaming using dynamical systems

• Leads project meetings for cross-functional teams across Department of Defense and academic partners

• Hired, oversaw and trained 21 master’s and 16 undergraduate research assistants on conducting experiments, human factors and user experience research, statistical analysis, report writing, and dynamical systems modeling

• Reports to CHART director

Applies principles of engineering psychology and human systems engineering to design and conduct mixed-method research on multi-mixed teams-including human-human, human-machine, and multiteam systems-focused on resilience engineering, trust, performance, and coordination in complex socio-technical systems. Employs advanced statistical and dynamical systems modeling techniques.

Conducted U.S. Air Force–sponsored human factors research at the U.S. Air Force Research Laboratory. Designed and executed human-AI teaming experiments focused on trust, transparency, performance, and coordination strategies with the Team Enhancement, Assessment, and Measurement Laboratory. Contributed to AI agent development through training data tokenization, semantic analysis, and natural language processing (NLP).

• Applied dynamical systems and advanced statistical techniques to monitor teamwork, identify breakdowns, and support team processes and performance

• Led experimental design and research protocol development for multiple human-AI teaming studies

• Initiated development of an AI agent capable of dynamically predicting when human teammates need assistance, prompting coordination strategy adjustments, and providing feedback to improve search strategy effectiveness

• Conducted semantic analyses and NLP in R, creating and tokenizing training data to improve the AI model’s predictive accuracy

Responsible for research protocol and reporting, and incorporating human factors methodology to provide user-centric tools, education, and leadership that support acquisition and life-cycle sustainment problems related to national security.

• Led the creation of a human-centric workflow and process model for a complex DoD and industry systems-of-systems product across Department of Defense and industry partners

• Conducted literature reviews, SME interviews, UI and product development, task/KSAO analyses, and experimental and usability studies for 3D audio, human-only and human-AI teaming, and military warfighter and medical teams

Applied I/O psychology to lead and consult with university officials and student organizations, training undergraduates in organizational management and best practices. Advised 22 chapters on operations, budgeting, branding, recruitment, risk, philanthropy, and academics. Guided new organizations, strategic planning, and leadership transitions; developed training resources; led expansion projects; delivered presentations; and recruited and vetted members.

Implemented human factors methodology and systems thinking to review and simplify documentation for system design requirements and FDA approval for medical devices.

As a research assistant with the Cognitive and Affective Influences in Decision making Lab directed by Dr. Ellen Peters, my duties included:

• Developing preliminary testing materials for studies concerning medical decision making such as questionnaires on Qualtrics and MediaLab

• Running experimental sessions, debriefing participants and coding participant data for analyses

• Training research assistants

Streamlined development, accelerated regulatory approval, and built safer, more competitive consumer, industrial, and military medical device products as part of Battelle’s human-centric design team.

• Directed the "Universal Medical Symbol Comprehension, User Interpretation and Usability Study" and completed all quantitative and qualitative analyses and reporting

• Led cross-functional meetings with UX/UI designers, psychologists, and mechanical, electrical, and material science engineers throughout the product development lifecycle—from prototyping to finalization

• Conducted summative, formative, simulated-use, and usability studies, as well as validation testing and heuristic evaluations, for medical devices including autoinjectors, inhalers, insulin pumps, e-cigarettes, surgical gowns, etc.

• Created task analyses, workflows, instructions for use, recruitment screeners, study protocols, and reports

• Researched patient disease states and virtual reality applications for human factor based studies

During the Summers of 2013-2015 as a research assistant with Advanced Opinions, I gained experience in qualitative research, particularly in planning and executing focus groups. My responsibilities included recruiting participants, developing recruitment screeners, coordinating focus group setup, and maintaining accurate financial records to support project efficiency and data quality.