Quantitative UX Researcher working on Generative AI applications.

Managing and growing a team of quantitative UX researchers.

Leading the growth of the Quantitative UX Research team within Adobe Design Research & Strategy.Developed an Experience Measurement Program which aligns design, product and data/research teams on experience goals and associated experience metrics to produce a quantitative connection to business goals and measures.Defining the core competencies of the Quantitative UX Research team and ensuring the team has the resources and clear direction to execute on these pillars. These include enriching the Adobe data ecosystem with human-centric data, advancing Adobe's understanding of user behavior and attitudes with quantitative methodologies and collaborating wider and deeper than before with fellow researchers and design/produce colleagues.

User experience (UX) research for Adobe Design. I conduct quantitative and qualitative research to answer questions related to design. I work with designers to develop a better understanding of users' behaviors, goals, wants and needs.

My overall area of research is in judgment and decision making. I develop methodologies for testing descriptive mathematical models of decision making. Some of my previous work focused on evaluating the predictive accuracy of simple decision rules (aka "heuristics") against benchmark statistical procedures like linear regression. My current research includes classifying decision makers according to their "risk attitude" (whether they prefer riskier or safer options) across choice contexts like finance, alcohol use, risky sexual activity, health and environmental policy. My research also investigates whether decision makers' choices satisfy core properties of "rational" choice theory. Current projects examine this question in the contexts of alcohol intoxication and cognitive aging.

Graduate Research Assistant and consultant for the Social Sciences Statistics Center. I provided statistical consulting to graduate students and undergraduate students working on research projects across a wide range of disciplines. I assisted clients with designing experiments, selecting and conducting appropriate statistical analyses using statistical software packages like SAS, SPSS, Minitab and R and assisted with statistical inference. An additional duty was providing statistical software assistance to walk-in clients at an open help session a few nights each week.

Lab instructor for Psychology 3020: Research Methods in Psychology 2. I taught two lab sections, covering how to use SPSS to run statistical analyses to answer research questions in psychology.

Established data analysis capabilities for Experience Design (XD) Research team.Segmented users of Adobe Marketing Cloud solutions based on behavior to provide designers and researchers with data-driven insights.Carried out exploratory analyses of user behavior via clustering (K-means and K-medoids) and association mining.

Tutored undergraduate students in statistics and psychology. Worked in both one-on-one and group tutoring environments.