SKILLS
Methods
Contextual Inquiry
Ethnography
Multivariate Experimentation
Surveys
Analysis / Synthesis
Behavioral Analytics
Data Storytelling
Inductive/Deductive Coding
Thematic Analysis
HCI
Accessibility
Cognitive Load Management
Complexity Scaffolding
Interaction Principles
Personalization
TOOLS
AI & LLM
Claude
Dovetail
Gemini
Analytics & Design
Amplitude
Figma
FigJam
Jira
Microsoft Clarity (heatmap)
Qualtrics
UserTesting
EDUCATION
Human-Computer Interaction
Master of Science
Rochester Institute of Technology
Computer Information Systems
Bachelor of Science
SUNY Brockport
RESEARCH EXPERIENCE
Design Researcher — Kikoff
Lifted user retention by 12% for a B2C financial health fintech by unifying Data Science and Marketing around data-driven behavioral cohorts to fast-track an onboarding revamp
Drove a 5% global conversion increase by streamlining systemic IA friction through unmoderated usability testing and aligning regional market assumptions
De-risked a financial AI assistant launch by establishing conversational guardrails that eliminated anthropomorphic language to ensure regulatory compliance
Product Researcher & Designer — Twitch
Yielded a 94% increase in chat engagement by identifying through A/B testing that public achievement celebrations reduced social friction to drive platform-wide adoption
Amplified chat engagement by 51.9%, driven by a 10.9% message lift per user, through a rapid experiment identifying immersion exit friction to inform a new design pattern
Accelerated feature adoption by 19% among novice streamers by identifying cognitive overload through semi-structured usability testing to inform an analytics dashboard redesign
Delivered a 17% increase in creator follow rates by conducting A/B testing with Data Science to map notification patterns and surface organizational misalignment
Maximized platform revenue growth by analyzing competitive creator-viewer relationship models to advise a strategic pivot toward non-disruptive ad formats
Usability Analyst (Co-op) — Autodesk
Translated competitive migration friction into product opportunity via mixed-methods research, defining phased onboarding requirements for cloud-based CAD workflows
Reframed an onboarding drop-off as a product-side mismatch through moderated usability testing, driving a redesign that lowered the knowledge barrier for novice users
Design Researcher — Center for Accessibility & Inclusion Research
Scaled a novel design framework to 30+ UX practitioners by conducting participatory workshops with Deaf/Hard of Hearing experts to integrate social friction into early-stage ideation constraints
Integrated complex user contexts into early-stage ideation by directing generative research to map interaction disparities and hidden user workarounds
Analyzed highly complex qualitative data from specialized user populations using inductive coding to coauthor 3 peer-reviewed ACM publications detailing cascading accessibility barriers
TECHNICAL EXPERIENCE
Technical Support & Operations — ICSC, CUNY Hostos, SUNY Brockport
Decreased support volume by 9% across 13,000 employees by triangulating ticket data with contextual inquiry to isolate root-cause friction and deprecate legacy protocols
Transformed organizational troubleshooting from reactive to preventive by conducting ethnographic observation to translate breakdown patterns into actionable workflows
Optimized self-service resolution by evaluating user information needs and restructuring the internal knowledge base architecture to minimize common support inquiries
“Building an adaptive future through deliberate insights”
RESEARCH EXPERIENCE
Design Researcher — Kikoff
Lifted user retention by 12% for a B2C financial health fintech by unifying Data Science and Marketing around data-driven behavioral cohorts to fast-track an onboarding revamp
Drove a 5% global conversion increase by streamlining systemic IA friction through unmoderated usability testing and aligning regional market assumptions
De-risked a financial AI assistant launch by establishing conversational guardrails that eliminated anthropomorphic language to ensure regulatory compliance
Product Researcher & Designer — Twitch
Yielded a 94% increase in chat engagement by identifying through A/B testing that public achievement celebrations reduced social friction to drive platform-wide adoption
Amplified chat engagement by 51.9%, driven by a 10.9% message lift per user, through a rapid experiment identifying immersion exit friction to inform a new design pattern
Accelerated feature adoption by 19% among novice streamers by identifying cognitive overload through semi-structured usability testing to inform an analytics dashboard redesign
Delivered a 17% increase in creator follow rates by conducting A/B testing with Data Science to map notification patterns and surface organizational misalignment
Maximized platform revenue growth by analyzing competitive creator-viewer relationship models to advise a strategic pivot toward non-disruptive ad formats
Design Researcher — Center for Accessibility & Inclusion Research
Scaled a novel design framework to 30+ UX practitioners by conducting participatory workshops with Deaf/Hard of Hearing experts to integrate social friction into early-stage ideation constraints
Integrated complex user contexts into early-stage ideation by directing generative research to map interaction disparities and hidden user workarounds
Analyzed highly complex qualitative data from specialized user populations using inductive coding to coauthor 3 peer-reviewed ACM publications detailing cascading accessibility barriers
Usability Analyst (Co-op) — Autodesk
Translated competitive migration friction into product opportunity via mixed-methods research, defining phased onboarding requirements for cloud-based CAD workflows
Reframed an onboarding drop-off as a product-side mismatch through moderated usability testing, driving a redesign that lowered the knowledge barrier for novice users
EDUCATION
Human-Computer Interaction
Master of Science
Rochester Institute of Technology
Computer Information Systems
Bachelor of Science
SUNY Brockport
SKILLS
Methods
Contextual Inquiry
Ethnography
Multivariate Experimentation
Surveys
Analysis / Synthesis
Behavioral Analytics
Data Storytelling
Inductive/Deductive Coding
Thematic Analysis
HCI
Accessibility
Cognitive Load Management
Complexity Scaffolding
Interaction Principles
Personalization
TOOLS
AI & LLM
Claude
Dovetail
Gemini
Analytics & Design
Amplitude
Figma
FigJam
Jira
Microsoft Clarity (heatmap)
Qualtrics
UserTesting
TECHNICAL EXPERIENCE
Technical Support & Operations — ICSC, CUNY Hostos, SUNY Brockport
Decreased support volume by 9% across 13,000 employees by triangulating ticket data with contextual inquiry to isolate root-cause friction and deprecate legacy protocols
Transformed organizational troubleshooting from reactive to preventive by conducting ethnographic observation to translate breakdown patterns into actionable workflows
Optimized self-service resolution by evaluating user information needs and restructuring the internal knowledge base architecture to minimize common support inquiries
“Building an adaptive future through deliberate insights”
SKILLS
Methods
Contextual Inquiry
Ethnography
Multivariate Experimentation
Surveys
Analysis / Synthesis
Behavioral Analytics
Data Storytelling
Inductive/Deductive Coding
Thematic Analysis
HCI
Accessibility
Cognitive Load Management
Complexity Scaffolding
Interaction Principles
Personalization
TOOLS
AI & LLM
Claude
Dovetail
Gemini
Analytics & Design
Amplitude
Figma
FigJam
Jira
Microsoft Clarity (heatmap)
Qualtrics
UserTesting
EDUCATION
Human-Computer Interaction
Master of Science
Rochester Institute of Technology
Computer Information Systems
Bachelor of Science
SUNY Brockport
RESEARCH EXPERIENCE
Design Researcher — Kikoff
Lifted user retention by 12% for a B2C financial health fintech by unifying Data Science and Marketing around data-driven behavioral cohorts to fast-track an onboarding revamp
Drove a 5% global conversion increase by streamlining systemic IA friction through unmoderated usability testing and aligning regional market assumptions
De-risked a financial AI assistant launch by establishing conversational guardrails that eliminated anthropomorphic language to ensure regulatory compliance
Product Researcher & Designer — Twitch
Yielded a 94% increase in chat engagement by identifying through A/B testing that public achievement celebrations reduced social friction to drive platform-wide adoption
Amplified chat engagement by 51.9%, driven by a 10.9% message lift per user, through a rapid experiment identifying immersion exit friction to inform a new design pattern
Accelerated feature adoption by 19% among novice streamers by identifying cognitive overload through semi-structured usability testing to inform an analytics dashboard redesign
Delivered a 17% increase in creator follow rates by conducting A/B testing with Data Science to map notification patterns and surface organizational misalignment
Maximized platform revenue growth by analyzing competitive creator-viewer relationship models to advise a strategic pivot toward non-disruptive ad formats
Design Researcher — Center for Accessibility & Inclusion Research
Scaled a novel design framework to 30+ UX practitioners by conducting participatory workshops with Deaf/Hard of Hearing experts to integrate social friction into early-stage ideation constraints
Integrated complex user contexts into early-stage ideation by directing generative research to map interaction disparities and hidden user workarounds
Analyzed highly complex qualitative data from specialized user populations using inductive coding to coauthor 3 peer-reviewed ACM publications detailing cascading accessibility barriers
Usability Analyst (Co-op) — Autodesk
Translated competitive migration friction into product opportunity via mixed-methods research, defining phased onboarding requirements for cloud-based CAD workflows
Reframed an onboarding drop-off as a product-side mismatch through moderated usability testing, driving a redesign that lowered the knowledge barrier for novice users
TECHNICAL EXPERIENCE
Technical Support & Operations — ICSC, CUNY Hostos, SUNY Brockport
Decreased support volume by 9% across 13,000 employees by triangulating ticket data with contextual inquiry to isolate root-cause friction and deprecate legacy protocols
Transformed organizational troubleshooting from reactive to preventive by conducting ethnographic observation to translate breakdown patterns into actionable workflows
Optimized self-service resolution by evaluating user information needs and restructuring the internal knowledge base architecture to minimize common support inquiries
“Building an adaptive future through deliberate insights”