Resume

Experience

Meta

Senior Quant User Experience Researcher

Jan 2024 - Present

Developed and implemented a hybrid machine learning classifier for open-ended responses, utilizing clustering analysis, multi-agent chain-of-reasoning, human-in-the-loop feedback, and few-shot learning, significantly reducing analysis time.

Led the development of Python-based analytical tools to streamline survey data analysis, enabling efficient processing and supporting fellow researchers across multiple projects.

Merged behavioral data from editor logs and in-app surveys, employing data science and machine learning methodologies to produce comprehensive, data-driven insights.

Conducted longitudinal research on a novel machine learning model, overseeing the design and execution of bi-weekly surveys and identifying critical performance metrics for a product with over 500 million monthly active users.

–

Roku Inc.

Senior User Experience Researcher

Jan 2021 - Nov 2023

Spearheaded the creation of an AI-powered indexed database of Roku's UX and CI research, enhancing data accessibility and leveraging AI techniques to improve search capabilities across the organization. (see portfolio).

Developed the Modular Survey Analysis System, integrating machine learning algorithms for generating detailed reports on survey data, including statistical analysis and NLP-based categorization of open-ended responses. (see portfolio).

Led quantitative and qualitative research on physical devices, deriving insights through behavioral log analysis from over 70 million devices to inform product development.

Executed comprehensive UX research on Roku's Customer Support site and call center software, utilizing data-driven methodologies to enhance user experience and optimize support processes.

–

Walmart Global Tech,

Senior User Experience Researcher

July 2019 - Nov 2020

Orchestrated comprehensive data analytics projects for Sam's Club's mobile app using Tableau, establishing key performance metrics to guide strategic enhancements.

Pioneered a data-centric approach, integrating user interaction data with business metrics to inform and transform the user experience.

Presented synthesized research findings to diverse stakeholders, including product managers, designers, and executives, influencing the user experience strategy and design decisions.

–

Scrapworks inc.

Data Scientist

September 2017 - August 2019

Spearheaded a successful deep learning project that accurately forecasted commodities futures, yielding a 60% reduction in prediction error.

Initiated an NLP-based merchandise classification project, contributing to a patent application and aiding strategic business decision-making.

Created an interactive dashboard to visualize and filter 20 years of sales data, driving a 30% sales growth.

–

Suggestic

Senior User experience researcher

December 2016 - September 2017

Led the transition from a conversational to a graphical interface, utilizing data insights to guide design decisions, significantly enhancing user engagement and app functionality.

Executed data-driven testing and analysis for new app features, ensuring optimal integration and alignment with user needs and business objectives.

Designed and developed advanced app prototypes, leveraging analytics to inform rapid iterations and feature enhancements.

–

Stanford University

User experience researcher

May 2016 - November 2016

Conducted pioneering VR-based UX research for autonomous cars, creating replicable, safe environments to elicit stress in drivers.

Collected and analyzed over 150 hours of car, biometric, and video data, contributing to developing algorithms with 90% accuracy in emotion detection.

Authored and contributed to research papers on automotive UI and pedestrian interactions, enhancing the academic discourse in UX design.

Performed advanced signal processing and statistical analysis on physiological data, innovating in driver emotion recognition technology.

–

Google.org

User experience researcher

January 2016 - June 2016

Analyzed technology adoption through a longitudinal ethnographic study, inspiring complex changes in multiple use cases.

–

ITAM

User experience researcher

August 2014 - May 2016

Created custom data visualizations and analyzed psychophysiological signals, identifying user behavior patterns using machine learning techniques.

Crafted personalized user experience solutions for interactive technologies, spanning wearable, mobile, and web platforms.

Conducted comprehensive usability testing at various development stages, significantly improving user interaction and satisfaction.

–

University of Colima

Health Psychology Researcher

2009 - 2014

Developed and assessed a psychoeducational program for adults with type 2 diabetes, improving glucose levels in 80% of patients.

–

Stevens Institute of Technology

Data science intern

June 2015 - August 2015

Developed a visualization technique to classify over 2 million tweets into new depression-related categories using NLP and machine learning methods.