Strong background in applying UX and human factors methods towards a wide range of systems: from digital tools (e.g. web and native apps) to physical products (e.g. laundry units, tractors, ergonomic chairs) to workspaces and environments (e.g. office layouts).

Such UX and Human Factors methods, include (but are not limited to): heuristic evaluations, prototyping, task analyses, usability testing, focus groups, user interviews, and more. I also have experience facilitating design and research workshops for stakeholders, sponsors, users, and technical team members.

Current Role

Senior Human Factors Engineer for the MITRE Corporation, optimizing systems for government and academic partners.

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May 2022: I received my M.S. in Human Factors Psychology from the University of Idaho and acquired my Associate Human Factors Professional (AHFP) Certificate from the Board of Certification in Professional Ergonomics.

Strong background in research focusing on several fields, such as: human factors and UX; psychology; neuroscience; animal behavior; sociology; and anthropology.

2018 to 2020: served as a Research Assistant under Dr. Matthew Kassner’s virtual reality (VR) lab, focusing on the psychological effects of VR induced environments towards social biases and decision making.

International areas where I have applied research methods: Barbados (2018), Cuba (2019), and India (2020).

I graduated with a B.S. in Psychology (2020). Throughout my academic experience, I conducted semester-long projects, applying various research and statistical methods.

My work includes analyses of virtual reality (VR) effects on social behavior, implicit racial bias, sleep, and creativity studies.

Academic background includes a minor in Behavioral Neuroscience, focusing on how the brain operates in relation to behavior and cognitive functions.

Some of my favorite courses included: Drugs, Brain and Behavior; Cognitive Psychology; Cognitive Neuroscience; Sensation and Perception; Advanced Behavioral Neuroscience, and Physiological Psychology.

Well-established proficiency in experimental and statistical methods across research projects and case studies, successfully conducting both quantitative and qualitative methods.

Strong background in SPSS and JASP for assessing data.

“Statistics drive innovative solutions.”