Experience

Where I've built things

12 years building data products across PathAI, Tempus AI, Mercury, and Meta — spanning healthcare AI, clinical analytics, fintech risk, and large-scale product analytics.

PathAI

Senior Data Scientist, AI Pathology & LLM Products

Jul 2024 – Present
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AI Pathology Analytics

  • Lead data science for AI pathology products, focusing on model reliability, cohort analysis, and clinical usability.
  • Analyze pathology cohorts, clinical metadata, annotation patterns, and model outputs to identify quality gaps and edge cases.
  • Partner with pathologists, ML engineers, and product managers to turn model findings into practical product improvements.

RAG & LLM Tools

  • Built RAG-based tools for product, science, and clinical teams to search model documentation, annotation guides, and validation results.
  • Designed LLM evaluation checks for retrieval accuracy, answer faithfulness, citation quality, and hallucination risk.

Python & SQL Workflows

  • Build Python and SQL workflows for validation analysis, dataset review, and AI product monitoring.

Tempus AI

Senior Data Scientist, Real-World Evidence & Clinical AI

Oct 2021 – Jun 2024
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Real-World Evidence

  • Led real-world evidence analyses across clinical, molecular, and outcomes data for oncology and precision medicine use cases.
  • Built reusable cohort logic for patient selection, treatment-pattern analysis, study feasibility, and outcomes research.
  • Worked with clinicians, product managers, and data engineers to validate assumptions, define endpoints, and explain study limitations.

Clinical AI Tools

  • Developed LLM-assisted tools that helped teams query study criteria, data dictionaries, cohort definitions, and analytical outputs.
  • Used NLP, embeddings, and semantic search to improve discovery of clinical concepts across structured and unstructured data.

QA & Reporting

  • Created QA and reporting workflows that made clinical analyses easier to reproduce, review, and explain.

Mercury

Data Scientist, Risk, Growth & AI Analytics

Apr 2018 – Sep 2021
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Risk & Fraud Analytics

  • Owned analytics for fraud risk, onboarding, activation, customer growth, and product performance across fintech workflows.
  • Built risk models to flag suspicious account behavior, transaction anomalies, payment issues, and manual review priorities.
  • Designed experiments for onboarding flows, lifecycle campaigns, pricing updates, activation programs, and retention initiatives.

Chatbot Prototypes

  • Created internal chatbot prototypes that helped support and risk teams search policies, operational notes, and issue patterns.

SQL Models & Dashboards

  • Built SQL models and dashboards for funnel health, customer segments, risk queues, fraud trends, and growth reporting.
  • Partnered with product, risk, compliance, and operations teams to define and prioritize business requirements.

Meta

Data Scientist, Product Analytics

Jun 2014 – Mar 2018
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Product Analytics

  • Analyzed large-scale product data to understand user behavior, engagement patterns, retention trends, and product quality signals.
  • Designed A/B tests for new product features, including metric selection, experiment readouts, and launch recommendations.

SQL & Python Workflows

  • Built SQL and Python workflows for funnel analysis, cohort tracking, segmentation, retention, and experiment diagnostics.
  • Created dashboards that helped product teams monitor growth, engagement, quality, and experiment performance.

NLP & Classification

  • Applied NLP methods to classify user feedback, content quality signals, and recurring product issues at scale.
  • Partnered with product, engineering, and design teams to shape roadmap decisions with clear, data-backed recommendations.