Product Designer & Engineer
Designing interfaces for complex data systems, research tools, and emerging technologies
Currently Sr. Product Designer at Harvard Medical School
Work
Sneak peak of my works
HuBMAP Data Portal
Founding designer for the NIH-funded HuBMAP Data Portal, a platform that allows for exploration, visualization, and analysis of single-cell and spatial healthy human tissue data.
Role
0 → 1 Product Strategy
UX Research
UI Design
Design Systems
Recognition
Dataset Exploration
Faceted search to explore and visualize publicly available single-cell and spatial data spanning 4700+ datasets, 300+ donors, 20 organs, and 22 assay types.
Zero-Download Jupyter Integration
Cloud-based JupyterLab workspaces to analyze data directly in the browser. No need to download massive datasets or manage local compute resources.
Biomarker & Cell Type Discovery
Visualization and query tools that enable researchers to identify cell type markers and explore biomarkers across spatial and single-cell datasets, bridging raw data with biological insight.
+
Datasets
Avg. Monthly Sessions
Years Active
Jupyter Workspaces
Led design of Jupyter workspaces that allow researchers to analyze data directly in the browser, eliminating the need to download massive datasets or manage local compute resources.
Role
UX Research
UI Design
Python and R Support
Python and R environments with popular single-cell and spatial analysis libraries pre-installed (scanpy, Seurat, Bioconductor). No local setup or dependency management required.
Pre-configured Templates
Pre-configured workspace templates for common analysis workflows, single-cell clustering, differential expression, spatial analysis, allowing researchers to start analyzing immediately.
Compute Resources
Cloud-based compute resources with GPU acceleration for memory-intensive analyses. Researchers can process large datasets without local hardware constraints or infrastructure management.
Biomarker & Cell Type Discovery
Led the design of an exploration interface of advanced query tools to enable researchers to identify cell type markers and explore gene expression and protein abundance across human tissues, bridging raw data with biological insight.
Role
UX Research
UI Design
Recognition
2022: DESIGN Conference
Advanced Biomarker & Cell Type Search
Advanced query interface for datasets containing specific genes, proteins, pathways, or cell types. Supports multiple query methods across RNA-seq, ATAC-seq, and proteomic data, returning statistical summaries and interactive visualizations.
Comprehensive Biomarker Pages
Detailed gene profiles aggregating descriptions with external references to HUGO and Ensembl, anatomical context, associated cell types, and expression visualizations across datasets.
Cell Type Explorer
Detailed cell type pages showing descriptions, distribution across organs, key marker genes, and associated datasets. Interactive visualizations compare cell type distributions across organs.
Process
Tools
Design
Figma
Adobe Illustrator
Miro
Dovetail
Framer
Tango
Analytics & SEO
Matomo
GA4
LookerStudio
SEMrush
Google Search Console
Development
Python
TensorFlow
Swift
Organization
Confluence
Jira
Notion
Obsidian
Product Strategy
Define product roadmaps and feature prioritization through competitive analysis, user research synthesis, and stakeholder alignment. Balance user needs with technical constraints and business goals to guide development priorities.
User Experience Research
Lead end-to-end user research from planning to synthesis, identifying key opportunities and translating findings into design principles, feature priorities, and roadmap recommendations.
Information Architecture
Create site maps, content hierarchies, and navigation structures to organize complex platforms. Document information flows and taxonomies to align design and development teams on content organization.
Analytics & SEO
Track user behavior and platform performance using Matomo and Google Analytics. Built custom dashboards in LookerStudio to monitor KPIs. Optimize discoverability through Google Search Console and Semrush, improving organic traffic and search rankings.
About Me
Leading design strategy for biomedical data platforms and visualizations at Harvard Medical School, including single-cell and spatial genomics tools for the NIH Human BioMolecular Atlas Program (HuBMAP).
Previously: autonomous vehicle interface design (Renault–Nissan–Mitsubishi), medical wearable sensor research, and cybersecurity UX.
Part-time PhD work researching ML frameworks for human-robot collaboration.
My Colleague
Currently playing
Hi, it's me :)
I'd love to connect with you!
Product Designer & Engineer
Designing interfaces for complex data systems, research tools, and emerging technologies
Currently Sr. Product Designer at Harvard Medical School
Work
Sneak peak of my works
HuBMAP Data Portal
Founding designer for the NIH-funded HuBMAP Data Portal, a platform that allows for exploration, visualization, and analysis of single-cell and spatial healthy human tissue data.
Role
0 → 1 Product Strategy
UX Research
UI Design
Design Systems
Recognition
Dataset Exploration
Faceted search to explore and visualize publicly available single-cell and spatial data spanning 4700+ datasets, 300+ donors, 20 organs, and 22 assay types.
Zero-Download Jupyter Integration
Cloud-based JupyterLab workspaces to analyze data directly in the browser. No need to download massive datasets or manage local compute resources.
Biomarker & Cell Type Discovery
Visualization and query tools that enable researchers to identify cell type markers and explore biomarkers across spatial and single-cell datasets, bridging raw data with biological insight.
+
Datasets
Avg. Monthly Sessions
Years Active
Jupyter Workspaces
Led design of Jupyter workspaces that allow researchers to analyze data directly in the browser, eliminating the need to download massive datasets or manage local compute resources.
Role
UX Research
UI Design
Python and R Support
Python and R environments with popular single-cell and spatial analysis libraries pre-installed (scanpy, Seurat, Bioconductor). No local setup or dependency management required.
Pre-configured Templates
Pre-configured workspace templates for common analysis workflows, single-cell clustering, differential expression, spatial analysis, allowing researchers to start analyzing immediately.
Compute Resources
Cloud-based compute resources with GPU acceleration for memory-intensive analyses. Researchers can process large datasets without local hardware constraints or infrastructure management.
Biomarker & Cell Type Discovery
Led the design of an exploration interface of advanced query tools to enable researchers to identify cell type markers and explore gene expression and protein abundance across human tissues, bridging raw data with biological insight.
Role
UX Research
UI Design
Recognition
2022: DESIGN Conference
Advanced Biomarker & Cell Type Search
Advanced query interface for datasets containing specific genes, proteins, pathways, or cell types. Supports multiple query methods across RNA-seq, ATAC-seq, and proteomic data, returning statistical summaries and interactive visualizations.
Comprehensive Biomarker Pages
Detailed gene profiles aggregating descriptions with external references to HUGO and Ensembl, anatomical context, associated cell types, and expression visualizations across datasets.
Cell Type Explorer
Detailed cell type pages showing descriptions, distribution across organs, key marker genes, and associated datasets. Interactive visualizations compare cell type distributions across organs.
Process
Tools
Design
Figma
Adobe Illustrator
Miro
Dovetail
Framer
Tango
Analytics & SEO
Matomo
GA4
LookerStudio
SEMrush
Google Search Console
Development
Python
TensorFlow
Swift
Organization
Confluence
Jira
Notion
Obsidian
Product Strategy
Define product roadmaps and feature prioritization through competitive analysis, user research synthesis, and stakeholder alignment. Balance user needs with technical constraints and business goals to guide development priorities.
User Experience Research
Lead end-to-end user research from planning to synthesis, identifying key opportunities and translating findings into design principles, feature priorities, and roadmap recommendations.
Information Architecture
Create site maps, content hierarchies, and navigation structures to organize complex platforms. Document information flows and taxonomies to align design and development teams on content organization.
Analytics & SEO
Track user behavior and platform performance using Matomo and Google Analytics. Built custom dashboards in LookerStudio to monitor KPIs. Optimize discoverability through Google Search Console and Semrush, improving organic traffic and search rankings.
About Me
Leading design strategy for biomedical data platforms and visualizations at Harvard Medical School, including single-cell and spatial genomics tools for the NIH Human BioMolecular Atlas Program (HuBMAP).
Previously: autonomous vehicle interface design (Renault–Nissan–Mitsubishi), medical wearable sensor research, and cybersecurity UX.
Part-time PhD work researching ML frameworks for human-robot collaboration.
My Colleague
Currently playing
Hi, it's me :)
I'd love to connect with you!
Product Designer & Engineer
Designing interfaces for complex data systems, research tools, and emerging technologies
Currently Sr. Product Designer at Harvard Medical School
Work
Sneak peak of my works
HuBMAP Data Portal
Founding designer for the NIH-funded HuBMAP Data Portal, a platform that allows for exploration, visualization, and analysis of single-cell and spatial healthy human tissue data.
Role
0 → 1 Product Strategy
UX Research
UI Design
Design Systems
Recognition
Dataset Exploration
Faceted search to explore and visualize publicly available single-cell and spatial data spanning 4700+ datasets, 300+ donors, 20 organs, and 22 assay types.
Zero-Download Jupyter Integration
Cloud-based JupyterLab workspaces to analyze data directly in the browser. No need to download massive datasets or manage local compute resources.
Biomarker & Cell Type Discovery
Visualization and query tools that enable researchers to identify cell type markers and explore biomarkers across spatial and single-cell datasets, bridging raw data with biological insight.
+
Datasets
Avg. Monthly Sessions
Years Active
Jupyter Workspaces
Led design of Jupyter workspaces that allow researchers to analyze data directly in the browser, eliminating the need to download massive datasets or manage local compute resources.
Role
UX Research
UI Design
Python and R Support
Python and R environments with popular single-cell and spatial analysis libraries pre-installed (scanpy, Seurat, Bioconductor). No local setup or dependency management required.
Pre-configured Templates
Pre-configured workspace templates for common analysis workflows, single-cell clustering, differential expression, spatial analysis, allowing researchers to start analyzing immediately.
Compute Resources
Cloud-based compute resources with GPU acceleration for memory-intensive analyses. Researchers can process large datasets without local hardware constraints or infrastructure management.
Biomarker & Cell Type Discovery
Led the design of an exploration interface of advanced query tools to enable researchers to identify cell type markers and explore gene expression and protein abundance across human tissues, bridging raw data with biological insight.
Role
UX Research
UI Design
Recognition
2022: DESIGN Conference
Advanced Biomarker & Cell Type Search
Advanced query interface for datasets containing specific genes, proteins, pathways, or cell types. Supports multiple query methods across RNA-seq, ATAC-seq, and proteomic data, returning statistical summaries and interactive visualizations.
Comprehensive Biomarker Pages
Detailed gene profiles aggregating descriptions with external references to HUGO and Ensembl, anatomical context, associated cell types, and expression visualizations across datasets.
Cell Type Explorer
Detailed cell type pages showing descriptions, distribution across organs, key marker genes, and associated datasets. Interactive visualizations compare cell type distributions across organs.
Process
Tools
Design
Figma
Adobe Illustrator
Miro
Dovetail
Framer
Tango
Analytics & SEO
Matomo
GA4
LookerStudio
SEMrush
Google Search Console
Development
Python
TensorFlow
Swift
Organization
Confluence
Jira
Notion
Obsidian
Product Strategy
Define product roadmaps and feature prioritization through competitive analysis, user research synthesis, and stakeholder alignment. Balance user needs with technical constraints and business goals to guide development priorities.
User Experience Research
Lead end-to-end user research from planning to synthesis, identifying key opportunities and translating findings into design principles, feature priorities, and roadmap recommendations.
Information Architecture
Create site maps, content hierarchies, and navigation structures to organize complex platforms. Document information flows and taxonomies to align design and development teams on content organization.
Analytics & SEO
Track user behavior and platform performance using Matomo and Google Analytics. Built custom dashboards in LookerStudio to monitor KPIs. Optimize discoverability through Google Search Console and Semrush, improving organic traffic and search rankings.
About Me
Leading design strategy for biomedical data platforms and visualizations at Harvard Medical School, including single-cell and spatial genomics tools for the NIH Human BioMolecular Atlas Program (HuBMAP).
Previously: autonomous vehicle interface design (Renault–Nissan–Mitsubishi), medical wearable sensor research, and cybersecurity UX.
Part-time PhD work researching ML frameworks for human-robot collaboration.
My Colleague
Currently playing
Hi, it's me :)