Mei has 5 years of experience spanning AI wearables, gaming, accessibility, and policy work across multiple jurisdictions. They specialize in translating complex mixed methods research into product decisions that stick across teams, industries, and diverse user communities.
In their free time, Mei plays D&D, works on their art (digital & physical mediums), and enjoys reading cheesy romance novels. Their favorite video game of all time is Minecraft, and they have an orange tabby cat named Cardi B.
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"[Mei] was an absolute superstar! [Their] UXR skills, accessibility expertise, moderation, and clear communication in the share out were all so impressive. [They] nailed balancing details for a mixed audience, making it incredibly effective."
"In my first project [at Riot] doing in-depth interviews with players, Mei was critical to our project's success. Not only are they an experienced interviewer, but they also helped me organize and put together material to mentor other researchers in interviewing."
Mei's UX research expertise includes leading end-to-end research projects and providing actionable insights through mixed methods data analysis across multiple levels of stakeholders.
Please note that most of Mei's work is under NDA and therefore cannot be shared publicly. If you want to request access to a case study, please email them.
Mei led the design, execution, analysis, and reporting of a 3 study research package spanning 2 quarters and 150+ participants. Their findings reframed the core problem from fixable friction to a structural value gap. Leadership limited the release to a targeted market and defocused a planned audio-only pairing.
Quant survey analysis
Go / no-go decision making
AI research workflows
Mei led the design, execution, analysis, and presentation of a usability study that spanned 2 months and focused on 7 upper-motor impaired users. Their mixed-methods approach surfaced 3 high-impact fixes that, when addressed, would boost task completion rate from 40% to 90%.
Accessibility testing
Usability testing
Semi-structured interviewing
OKR Benchmarking
Mei led the design, coordination, analysis, and presentation of a character design research project that spanned 7 months and hosted over 80 total participants. Their mixed methods research, in combination with solution-focused reporting, gave the development team the information they needed to change their direction and continue to improve usability for players before release.
Managing difficult stakeholders
Translating developer goals to players
Project viability shot calls
Mei led the design, coordination, analysis, and presentation of a 2 part character design study that spanned 2 months and hosted over 25 participants. Their mixed methods research, in combination with solution-focused reporting, gave the Champion’s team the information they needed to confirm their direction lock and continue to improve usability for players before release.
Moderating / Facilitating
Observing and Note Taking
Usability benchmarking
Survey design
Mei co-modersated, analyzed, and prepared the presentation of results for a usability test that spanned 1 month and hosted 7 participants. Their exploratory interviewing and draft interface usability testing gave the design team the information they needed to address player usability issues and optimize product flow before release.
Usability testing
Moderating / Facilitating
Semi-structured interviewing
Mei reconstructed UCSD’s Graduate Well-Being survey to remove offensive material and better communicate with the underserved LGBTQ+ population it was originally meant to reach. Using journey maps, survey design, and primary source research, they were able to transform UCSD’s survey design and influence future research for the graduate program.
Personas
Journey / Empathy mapping
Usability benchmarking
Survey design
Mei's educational expertise focused on government and military intelligence analysis, providing actionable insights through open-source intelligence analysis for command level stakeholders.
Please note that most of Mei's previous intelligence work is still under security clearance and therefore cannot be shared publicly. If you want to learn about their work, please email them.
China and Russia are Getting Bolder
Military intelligence briefings are often presented to executive level leadership as succinct one-page reports consisting of a summary, background context, and 3 potential recommendations. This particular study delves into the collaborative maneuvers executed by China and Russia over contested Japanese territory in August 2020. Leveraging threat assessment techniques, Mei conducted a comprehensive review of open-source intelligence to inform leadership about the most effective course of action in response to such provocations.
Deriving Actionable Insights
Stakeholder Presentation
Open-Source Intelligence (OSINT)
Threat Assessment
Statistical Data Analysis
Picture by Elena Lacey; GETTY IMAGES.
China and Censorship in the Age of COVID-19
Mei's graduate thesis was an in-depth investigation of China's censorship strategies during the initial phase of the COVID-19 pandemic. Employing a combination open-source and social media intelligence, alongside on-the-ground disease surveillance methodologies, Mei provided a real-time reconstruction of the dissemination of COVID-19 information in China during the spring of 2020. Systematically analyzing changes in the censorship landscape over time, Mei then lays out the impact of COVID-19 on China's future censorship policies.
Open-Source Intelligence (OSINT)
Social Media Intelligence (SOCMINT)
Data Mining
Disease Surveillance
Deriving Actionable Insights