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Senior Data Scientist @ ConcertAI
2021 - 2022- Led collaboration with the FDA to develop models for the prediction of adverse events using using real world evidence
- Systems and models I built exceeded FDA’s state-of-the-art performance for disease and event definition
- Built full pipeline for end-to-end modeling workflow
- Built full pipeline for scalable testing and validation of clinical definitions using data-driven sensitivity analyses
- Collaborated with engineering team to incorporate pipeline components into software product and knowledge base to extract features from company’s real world data products.
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Lead Modeler and Data Visualization Engineer @ GNS Healthcare
2018 - 2020- Led development of in-silico causal patient models to determine subpopulation patient responses and drivers of treatment efficacy for novel immunotherapies for lung cancer
- Built RShiny apps to automatically assess model performance and generate insights
- Developed visualization tools enabling interactive interrogation of causal network pathways
- Worked closely with business & delivery teams to interpret and visualize results for clients
- Collaborated with product & engineering teams to incorporate work in company product
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Graduate Research Student @ Stanford University
2012 - 2017
Integrated -omics data to understand the effect of nutrition on human health (Advisor, Michael Snyder).- Developed method describing glucose variability from continuous blood sugar monitors that enables data-driven early detection of insulin resistance & pre-diabetes status.
- Designed and developed web tool for clinical annotation of continuous blood sugar time-series data critical for creating a validation set of “at-risk” events for modeling.
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Data Visualization Engineer @ BioBright
2016Developed Augmented Reality visualization for data-driven biological research using Microsoft Hololens (private v1 beta kit), Unity and Visual Studio.
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Research Assistant @ Havard Medical School
2010 - 2012
Technology and method development in the areas of single-cell RNA-seq and in situ DNA sequencing. Advisor, George Church and Michael Sismour.- Developed synthetic biology tools using high-throughput genotype-phenotype assays.
- Optimized techniques for single-cell DNA sequencing and phenotyping.
- Optimized experimental conditions for single-cell RNA sequencing.