Resume

Experience

  • 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.

  • 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
  • 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.
  • Data Visualization Engineer @ BioBright

    2016

    Developed Augmented Reality visualization for data-driven biological research using Microsoft Hololens (private v1 beta kit), Unity and Visual Studio.

  • 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.

Resume

Education

  • Stanford University

    2012 - 2017

    Ph.D. Stem Cell Biology and Regenerative Medicine

  • Stanford University

    2015 - 2016

    M.S. Biomedical Informatics

  • Boston University

    2008 - 2012

    B.A. Biochemistry and Molecular Biology, awarded with distinction

    details on academic coursework

Resume

Publication and Patents

  • Methods for Evaluating Glycemic Regulation and Applications Thereof .

    2019

    Patent pending

  • Glucotypes reveal new patterns of glucose dysregulation.

    2018

    PLoS Biology

  • Using LASSO Regression to Predict Rheumatoid Arthritis Treatment Efficacy.

    2016

    AMIA Joint Summits on Science Translational Proceedings

  • Development of in situ Sequencing as a Technique for High-throughput Genotype-Phenotype Association Studies in E. coli

    2012

    Boston University Symposium

Resume

Academic Awards

  • National Science Foundation Graduate Fellowship

    2013 - 2016
  • College Prize for Excellence in Biochemistry and Molecular Biology

    2012
  • Summa Cum Laude Latin Honors

    2012
  • Phi Beta Kappa Society, Boston University

    2012

Resume

Volunteering

  • Girls Teaching Girls to Code (GTGTC), Mentor

    Winter 2015

    Taught interactive tutorial on sequence analysis to introduce computational biology to high school students. Spoke on CS+X panel on combining computer science with other fields

  • Association for Women in Science (AWIS), Outreach Volunteer

    2012

    Guided students through basic science experiments (DNA extraction) and explained the underlying concepts

Resume

Skills

  • Software Engineering

    Python, R, Bash, Unix, C/C++, MATLAB, Perl, AMD64, Version control (Git, Mercurial, Bitbucket)
  • Machine Learning and Data Science

    Time Series, Unsupervised Clustering, Predictive, Causal, Graphical, Bayesian, SQL, AWS/S3
  • Data Visualization

    RShiny, Dash, Tidyverse, Bokeh, D3, Processing, threeJS, OpenGL, Unity, Blender, Augmented reality with Microsoft Hololens, HTML/CSS
  • Biomedical informatics

    Clinical Data Mining (EHR, real world evidence), Treatment Efficacy Prediction, Medical Image Analysis, Visualizing Patient Journies, Genome and Transcriptome Sequence Analysis, Microarray Analysis, Molecular Dynamics Simulation, Biomedical Databases (CBI, NHANES, STRIDE, MIMIC, Immport)
  • Life Sciences and Experimental Research

    Molecular Biology (PCR, cloning, western blotting, gel elextrophoresis), Protein Biochemistry (in vitro transcription/translation, protein expression/synthesis/purification), Spectroscopy (visible, UV, IR, NMR, atomic absorption), Chromatography (thin-layer, column, size-exclusion), Cell culture (bacterial, mammalian, stem cell), iPSC reprogramming and differentiation (cardiac, neuronal), Fluorescence microscopy