ashley cogell

Résumé

I build the data tools behind clinical research platforms: production APIs, analysis pipelines, and the visualization layer on top. My work turns real-world clinical data into evidence that sponsors, clinicians, and patient advocacy organizations act on. PhD in biomedical sciences, nine peer-reviewed publications, and a studio art background that shows up in every chart I ship.

Experience

Senior Data Scientist, PicnicHealth

Oct 2023 — Present

Analytics infrastructure and client-facing visualization for real-world clinical research. Joined via PicnicHealth's acquisition of AllStripes.

  • Designed, built, and maintain a production R Plumber API and the 70+ visualizations, tables, and metrics it serves, spanning 50+ clinical research programs
  • Author the R analysis layer behind those outputs: statistical computation, cohort filtering, endpoint derivation, and longitudinal aggregation
  • Own the full visualization path end to end: SQL across PostgreSQL and BigQuery, the R transformation and analysis logic, and the Plotly figure construction served through the API and rendered via Plotly React in a client-facing Sponsor Portal
  • Built and maintain the internal R packages and visualization standards that biostatistics and data science build on, giving the team a shared plotting layer and consistent visual design
  • Led design and implementation of real-time study analytics dashboards in R Shiny and Retool for commercial, delivery, and product teams
  • Established visualization standards and a component-level design system now used across data and product teams
  • Partnered with engineering, product, and design to define and ship new visualizations spanning enrollment tracking through clinical endpoints
  • Built tooling that gave non-coding stakeholders direct access to analytics previously gated behind engineering requests

Founder & Lead Engineer, Spread Technologies, LLC

Feb 2026 — Present

Solo-built allergen-aware event planning application, closed alpha at spreadapp.co. Incorporated in Colorado, May 2026.

  • Designed and shipped a cross-platform application in React Native, Expo, and TypeScript with a responsive web build deployed to Cloudflare Pages
  • Built the full Postgres backend on Supabase: schema design, row-level security, authentication, and user-private versus event-scoped data models
  • Modeled a structured ingredient and allergen vocabulary with normalization and mapping logic, applying the same curation methodology used for clinical vocabularies
  • Integrated Stripe, transactional email, and CI/CD through EAS Build to TestFlight

Senior Manager, Data Insights, AllStripes

Jun 2021 — Oct 2023

Rare disease analytics, visualization, and scientific communication. Promoted twice from Scientific Affairs Associate.

  • Took over analysis and visualization for two Orphanet Journal of Rare Diseases publications and drove both through submission to publication, serving as corresponding author on one
  • Built interactive dashboards in R Shiny and Plotly Dash; produced publication-grade reports with R and Adobe Illustrator
  • Defined SQL logic and medical vocabularies (ICD-10, SNOMED, LOINC) to curate rare disease patient cohorts
  • Assessed EHR data quality using SQL and R, improving vocabulary mapping confidence and patient deduplication beyond demographic matching
  • Conducted longitudinal medical record reviews to construct comprehensive patient case studies
  • Collaborated with epidemiologists and clinicians to define research endpoints and collection strategies
  • Designed patient-facing "care resumes" and data insights features
  • Presented findings to patient advocacy organizations via community insights reports, webinars, and conferences
  • Developed internal R functions and visual design standards adopted across the analytics team

Graduate Research Assistant, Colorado State University

May 2015 — May 2021

Neuroscience research, quantitative imaging analysis, and scientific communication.

  • Led multiple projects investigating astrocyte–neuron interactions using advanced imaging (SRRF, single-particle tracking) and primary cell culture
  • Built custom analysis pipelines in MATLAB, ImageJ, and R to extract quantitative insights from 2D and 3D imaging data
  • Cloned and validated 30+ DNA constructs over five years for live-cell imaging experiments
  • First-author work contributed to a funded NIH R01 (1R01NS112365-01A1)
  • Created and taught "Adobe Illustrator for STEM," a workshop on figure design and graphical abstracts
  • Organized the Front Range Neuroscience Group Annual Meeting (2015–2018), coordinating 200+ attendees, speakers, and all print and digital media
  • Twice awarded Best Graduate Student Poster, Front Range Neuroscience Meeting

Education

  • PhD, Biomedical Sciences, Colorado State University · 2021 — Subspecialization in Molecular, Cellular and Integrative Neurosciences. GPA 4.0.
  • BS, Neuroscience and Studio Art, Trinity University · 2014 — Outstanding Student in Neuroscience award. Mach Senior Research Fellow.

Skills

Languages & Frameworks: R (plumber, Shiny, plotly, tidyverse) · SQL (PostgreSQL, BigQuery, SnowSQL) · TypeScript · JavaScript · Python · MATLAB

Visualization: Plotly (R & React) · D3.js · R Shiny · Plotly Dash · Retool · custom R packages · Adobe Illustrator · Figma

Engineering: REST API design · React · React Native · Expo · Supabase · Posit Connect · Git · CI/CD

Data: Real-world data (RWD/RWE) · EHR · clinical vocabularies (ICD-10, ICD-9, SNOMED, LOINC, CPT, RxNorm, NDC) · cohort curation · patient-reported outcomes · rare disease analytics