• Old Dominion University
    Ph.D. Education, Instructional Design and Technology
    Incoming Fall 2026

    University of Arizona
    M.A. Psychology
    Summa Cum Laude

    New Jersey Institute of Technology and Rutgers University
    B.S. Human Computer Interaction, Cognitive Design
    Summa Cum Laude

  • Microsoft    
    UX Researcher → UX Researcher II, August 2021-Present
    NYC Metro Area, Redmond WA & Remote 

    Lead foundational and strategic research across Microsoft AI and developer platforms including, but not limited to,VS Code, Copilot, Azure, and AI Foundry. 

    • Led strategic research for Foundry Toolkit and Azure AI developer experiences, contributing to 30× growth in developer adoption and a strategic shift in Foundry’s developer experience direction.

    • Led research on industry prioritization for Foundry Solution Templates, collaborating with product and marketing leadership across organizations to inform executive strategy discussions on enterprise AI opportunities.

    • Extended an internal Customer Capability Model to incorporate emerging agentic development workflows, helping teams understand readiness and capability gaps. Designed interactive research surveys to validate the model with customers while generating insights that informed research priorities and product investment decisions.

    • Led recurring weekly concept value test for 3+ months. Enabled PM, design, and engineering to rapidly iterate on concepts by translating early ideas into structured, testable concepts and validating them with real customers. 

    • Led foundational research examining the Azure developer adoption journey, revealing onboarding and retention gaps that led to the creation of a dedicated Azure end-to-end research initiative.

    Microsoft (via Yoh Consulting)
    UX Researcher, May 2019-April 2020 
    Redmond, WA 

    • Ran weekly Quick Pulse research studies combining surveys, interviews, and usability testing to inform feature development and iteration.

    • Identified cross-study patterns in Azure UX research that exposed the need for an end-to-end view of developer adoption, contributing to the formation of a dedicated E2E research team and collaborating on the development of a unified adoption framework

    • Conducted research with 100+ developers and data scientists to analyze workflows across notebooks (.ipynb), coding environments, and learning resources, and more; Building domain expertise in developer toolchains and workflows.

    New Jersey Institute of Technology
    UX Research Teaching Assistant ,    January 2019-June 2019
    Newark, NJ 

    • Selected based on strong academic and research performance as a teaching assistant for “Discovering Needs for User Experience”. 

    • Contributed to course instruction through development of lectures, assignments, and research plans focusing on foundational UX research methods.

    • Designed engaging, scenario-based learning experiences to help students apply research concepts.

    Coo-e      

    UX Design, Research Intern, October 2018-May 2019
    Newark, NJ

    • Led UX research for a 0→1 social coordination platform, defining the research roadmap and partnering with founders and engineers to shape product direction. 

    • Conducted multi-method research (usability tests, surveys, journey analyses) to uncover user needs in social planning and coordination, influencing feature prioritization and strategy. 

    • Identified systemic challenges in cross-time-zone coordination, and owned research and design of a feature to support distributed group interactions. 

    • Synthesized ongoing usability data into actionable insights, driving interactive design improvements and product refinements. 

    • Collaborated with international teams to integrate research into a globally distributed development process

    Connections Lab

    UX Researcher, February 2018-May 2019 
    Newark, NJ 

    • Conducted research on how people form and experience social connections, using mixed-methods (interviews, contextual inquiry, surveys, diary studies, A/B testing, intercepts). 

    • Identified behavioral patterns and interaction needs to inform the design of tools that enhance human connection. 

    • Developed experience concepts through storyboards and prototype design (paper and digital), translating insights into engaging user experiences.

    The Walt Disney Company

    College Program, Sept 2017-December 2017
    Orlando, FL 

    • Selected for a competitive program combining operational work with professional development in a high-volume theme park environment. 

    • Delivered guest service at scale while observing how service design, operational flow, and staff interactions shape end-to-end guest experience. 

    • Recognized by guests and leadership for strong performance in high-pressure, customer-facing environments.

    Seattle Pacific University

    Computer Science Lab Assistant,     January 2017-June 2017
    Seattle, WA 

    • Tutored students across computer science courses (C++, Python, HTML/CSS), supporting both foundational learning and advanced project work.

    • Strengthened ability to communicate complex technical concepts and support problem solving across varying levels of expertise.  

    Engineering and Computer Science Student Council, December 2014-June 2017

    • Elected representative for CS and IS students. Conducted survey research and interviews to surface student needs, present findings and recommendations to faculty and leadership. 

    • Participated in the faculty hiring process, contributed to candidate evaluation and departmental decision-making. 

  • Research Excellence

    Strategic, mixed-methods UX researcher who integrates qualitative and quantitative approaches to uncover insights and shape product direction.

    Influence & Strategy 

    Translate complex findings into clear narratives, models, and frameworks that align cross-functional teams and inform decision-making

    AI & Developer Domain 

    Deep experience researching AI-powered products and developer workflows, with transferable insights across emerging technical domains.




  • Technical & AI-Augmented Capabilities: 

    • AI-assisted data analysis, including the ability to scope, interpret, and act on quantitative data with AI supported analysis. 

    • Development of interactive research materials and lightweight prototypes using AI-assisted tools (e.g. Figma, Copilot). 

    • Creation of specialized AI-agents to support research and analysis, bringing insights closer to the team.

    Research Methods: 

    Interviews (remote/in-person), usability testing, diary studies, large-scale surveys, concept value tests (Kano), ethnography, card sorting, tree testing. 

    Synthesis and Strategy: 

    Mixed-methods triangulation, journey mapping, funnel analysis, maturity/capability modeling, information architecture frameworks. 

    Tools: 

    HeyMarvin, UserTesting, UserInterviews, Mural, Figma (FigJam, FigmaMake), VS Code, Computational Notebooks, Qualtrics, AI Assistants (GitHub CLI, ChatGPT, Copilot).

  • Microsoft New Employee Orientation Recurringly

    Speaker/Presenter, Connecting with Customers 

    Euro Python Conference June 2025

    Booth Research-Survey to map emerging AI landscape

    Fully Connected Conference May, 2024

    Booth Research-Understand evaluating AI projects

    Microsoft UXR Day

    Speaker/Presenter, Learning by Making April, 2024

    Speaker/Presenter, The Power of Mixed Methods March, 2021

    Qual 360 EU April, 2022

    Speaker/Presenter, Democratizing UX Research

    Euro Python Conference April, 2022 

    Booth Research-Opportunistic research on 10+ topics

    PyData September, 2019

    Booth Research-Feature naming and development

    Speaker/Presenter, Lightning talk 


  • Certification for Institutional Review Board Professional May 2023-May 2025


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