Personal Statement
I am a PhD candidate in cognitive psychology with seven years of experience designing and conducting human-subjects research. Throughout my doctoral training, I have developed a research approach grounded in curiosity, rigor, and adaptability, always prioritizing high-quality evidence over speed.
One lesson that has shaped my work is that successful research depends on meeting people where they are. While recruiting participants from neurotypical and neurodivergent populations, I learned that thoughtful communication and participant-centered recruitment are essential for collecting meaningful and reliable data. Similarly, during pilot testing for my dissertation, I edited the wording of an open-ended survey question after discovering that participants were skipping it. This reinforced the importance of testing assumptions, iterating on research methods, and making decisions based on evidence rather than preference.
Overall, these experiences have shown me that great research is not only about asking the right questions but also about designing studies that work for the people taking part in them. I am now seeking to transition into a Research or UX Research role, ideally within an AI-focused company, where I can apply these skills to help build products that are intuitive, accessible, and informed by user needs. Over the next two to three years, I aim to lead end-to-end research projects that shape product strategy and improve user experiences.
Check out my resume.
Non-Negotiables
“Does this role prioritize methodological validation and iterative testing before shipping?”
“Will I work cross-functionally with research teams or solo?”
“Is AI integrated into the research process itself?”
Current search based on the non-negotiable criteria: link.
Keywords:
Study design; research rigor/methodological soundness; data analysis & synthesis; hypothesis-driven research design; statistical analysis; quantitative methods; qualitative research methods; mixed-methods design; communication & storytelling; research independence & autonomy; cross-functional collaboration; measurement & rubric development; survey design & administration; publication & peer-review; null & nuanced findings