2022 - Present
Code for America
Director of Qualitative Research
Enabling and growing a team of qualitative researchers working to improve government in meaningful ways.
2019 - 2022
Senior Research Manager
Lead the HCI Research Lab at Spotify and established a human-computer interaction research through design practice focused on interactive prototyping of personalized machine-learning based experiences. Our prototypes acted as early-stage proof-of-concepts of two Spotify products launched in 2021. Our team contributed to the Spotify innovation pipeline by filing 27 patents (12 granted) and publishing 15 scientific papers.
2018 - 2019
Senior Research Scientist
Served as team lead of a cross-functional group focused on Spotify Search feature metrics. Developed metrics on success and effort based on mixed-methods quantitative data analysis and qualitative user research. Successful alignment and tech transfer with Search Product teams led to a productionized version of the proposed success metric.
2016 - 2018
Senior User Researcher
Hired as the lead IC researcher to bootstrap a 1st party mobile voice search feature (launched in 2017). Collected training data for NLU models, developed accuracy and error metrics for voice fulfillment, evaluated the UX through qualitative and quantitative methods, and tracked feature sentiment through social media posts and user surveys.
2013 - 2016
Quantitative User Researcher
Collaborate with product, software and research teams to design and deploy innovative quantitative and qualitative data collection techniques to extend the capabilities of the Alexa assistant across diverse product categories. Drive research program to provide frictionless customer interactions with the Echo by improving the quality of the data used to train speech recognition models. Developed and drove a crowdsourcing research program to allow the Amazon Echo to add more than 20 new features in its first year of launch.
2010 - 2013
Analyzed geographic and cultural differences in the adoption of social networking services and social software within IBM. Focused on improving the consumption experience of social media content by multilingual readers.
Cornell University | Ph.D
My dissertation focused on how people in Wikipedia and social tagging systems express territorial behavior during collaboration. I used mixed methods ranging from log analysis, statistical modeling and qualitative user interviews to understand social behavior.
Cornell University | B.S.
Hiring and building diverse, high-performing cross-functional teams
Facilitating design workshops and sprints
Qualitative methods include interviews, ethnography, high and low fidelity probes
Survey experience with Qualtrics, crowdsourcing with Amazon Mechanical Turk and Appen
Languages: SQL, R, Python for statistical analysis
User research tools such as UserTesting, Reduct, Airtable, DScout
Analytics tools such as Google Data Studio, Tableau
Press coverage in Popular Science, Ars Technica, Vice Media, Wired, Fast Company, ABC News, The Atlantic