• Data Scientist with 12+ years of programming experience and 4+ years of experience in data analytics and visualization.

Skills & Proficiency

  • Github
  • Python
  • R
  • SQL
  • Data Visualization
  • Machine Learning
  • Deep Learning, Transformers
  • Natural Language Processing
  • Bayesian Modeling
  • Data Structures
  • Algorithms
  • Parallel Processing
  • XML parsing
  • Web Development, HTML/CSS

Research Experience

  • Data Scientist

    June 2022 - Present
    Digital Science
    • Used textual analysis to help government funders and clients understand of research trends and emerging topics
  • Graduate Researcher

    August 2016 - May 2022
    University of Pennsylvania
    • Designed and implemented parallel processing pipelines that achieved 3x speed up on analyzing terabytes worth of biomedical text.
    • Used weak supervision for a 1.5x speedup on training deep learning models (recurrent neural networks and transformers) to extraction biomedical relationships from biomedical text.
    • Applied a k-nearest-neighbor model to provide scientists with a web service that identifies a listing of journals linguistically similar to a preprint of interest.
    • Applied time series analysis techniques to discover over 20,000 different timepoints where words have changed their semantic meaning.


  • Ph.D. in Genomics and Computational Biology

    June 2022
    University of Pennsylvania
  • Postbaccalaureate Program (Penn Prep)

    June 2016
    University of Pennsylvania
  • B.S. in Computer Science and Minor in Bioinformatics

    May 2015
    University of Maryland Baltimore County



  • Appointed trainee on T32 Computational Genetics

    June 2019 - August 2021

    National Human Genome Research Institute (NHGRI)

  • Meyerhoff Scholar (M23)

    August 2011 - June 2015

    University of Maryland Baltimore County