Rose M. Schneider, Ph.D.

San Diego, CA ยท rosemschneider@gmail.com

UX Researcher who thrives on translating complex problems into actionable experimental designs. I use my background in experimental psychology and versatile skill set in mixed methods research, data science, and science communication to provide data-driven insights to human behavior. Let's discover something.


Experience

Sr. UX Researcher

Blink UX

Led qualitative and quantitative studies at a UX design and research consulting agency with adults and children to help develop, design, and refine products and business strategy. Used a variety of methods, including in-depth interviews, diary studies, expert interviews, usability testing, cross-cultural research, concept testing, moderated and unmoderated benchmark testing, literature review, and surveys. Consistently delivered high-impact research at multiple levels of large organizations, including at the director and executive level, and communicated findings and recommendations to cross-functional stakeholders using clear and compelling data-driven storytelling. Internally, functioned as subject-matter expert in scoping and executing research relating to cognitive psychology and developmental psychology and spearheaded internal initiatives for building quantitative and mixed methods practice, including creating company-wide roadmap and internal resources for training and business development.

June 2021 - Present

Research Scientist

University of California, San Diego

Doctoral research on cognitive development and early learning, with an emphasis on language and number acquisition. Developed, led, and managed multiple projects with children and adults in domestic and international settings, including experimental design, data management, statistical analysis, and publication. Designed and implemented two open-source web apps for large-scale data collection and visualization using Node.js and R Shiny. Produced 7 peer-reviewed publications and 15 conference presentations.

January 2018 - September 2021

Research Scientist

University of Pennsylvania

Master's research on early number and language knowledge. Combined novel behavioral research with corpus-based data mining (Python Natural Language Toolkit) to discover patterns in preschoolers' understanding of counting and number words.

August 2016 - August 2017

Research Coordinator

Stanford University

Coordinated all administrative aspects of Stanford Language & Cognition Lab for domestic and international research projects. Independent contributor on several projects on early language acquisition, including large-scale online survey with 1300+ participants on children's first words. Produced 3 peer-reviewed publications.

June 2014 - June 2016

Research Assistant

Johns Hopkins University

Independent contributor on novel psychophysical research on perceptual learning, working memory, and attention in children and adults. Designed psychophysical experimental paradigms in MATLAB.

September 2011 - May 2014

Research Assistant

Harvard University

Collaborator on research on working memory and perceptual learning in infants, children, and adults.

May 2013 - August 2013

Education

University of California, San Diego

Ph.D., Experimental Psychology
National Science Foundation Graduate Research Fellow
January 2018 - September 2021

University of Pennsylvania

M.A., Psychology

National Science Foundation Graduate Research Fellow

August 2016 - August 2017

Johns Hopkins University

B.A., Psychological & Brain Sciences; Classics
Phi Beta Kappa
September 2008 - December 2013

Skills

Research

    Mixed-methods, user interviews, diary studies,usability testing, concept testing, A/B testing, human factors, cross-cultural considerations, developmental methods, contextual inquiry, competitive analysis, thematic analysis, expert interviews, unmoderated testing, benchmarking, literature review, survey design, eye tracking

Skills

Software

    R, Python, MATLAB, Javascript, CSS, HTML, SQL, Git, Latex, *nix command line, MTurk

Hardware

    SMI Eyetracker, Eyelink Eyetracker

Data science

    Data management (including cleaning and wrangling), Statistical modeling, Data visualization

Science communication

    10 peer-reviewed publications, 20 conference presentations, 2 fully-funded NSF grants


Academic Research

My Ph.D. is in Experimental Psychology, with a focus on Cognitive Development. Broadly, my research seeks to quantify how we learn complex things (like number and language) and why this process is difficult. Through understanding the hurdles that learners face in acquiring new knowledge, I hope to target ways in which learning environments and outcomes can be improved.

Throughout my research career, I have conducted within- and cross-cultural research in children and adults on a diverse set of topics beyond language and number acquisition, including working memory, attention, perceptual learning, and even psychological models of fairness and value.

If you are an academic interested in pursuing UX Research, please feel free to contact me.