Lawrence W. Gray

lwgray@gmail.com | 503-764-8451 | LinkedIn | GitHub | Blog | Baltimore, MD


Objective

To work with a data science team in which I am able to use my software engineering and machine learning knowledge to produce quality products. I am also looking for a team that is inspired by the future and what it could be, fascinated by ideas, and values creativity.

Skills

  • Languages and Tools: Python, R, git, postgresql
  • Packages: Pandas, Numpy, Flask, NLTK, scikit-learn, gensim
  • Natural Language Processing: Topic Modeling, Sentiment Analysis
  • Machine Learning(ML): General Methods(i.e. Clustering, Classification, Regression)
  • Life Sciences: Cellular and Molecular Physiology, Computational Structural Biology

Experience

District Data Labs, Research Fellow, Washington, DC

March 2018-Present

  • Contributing to the development of an open-source ML visualization tool.
  • Creating blogs about utilizing ML to solve Real-World problems.

National Center for Biotechnology Information, Postdoctoral Fellow, Bethesda, MD

September 2013-Present

  • Developing 3D transformation methods to compare biological structures.
  • Studying the effect of antibiotics on the structure of ribosomes.

Johns Hopkins University, School of Medicine, Predoctoral Fellow, Baltimore, MD

April 2009-May 2013

  • Elucidated the primary molecular mechanism by which copper becomes elevated in the urine of Wilson's disease patients. Excitingly, this discovery could be used for early diagnosis and treatment of the disease.
  • Awarded a prestigious 3-year $150,000 NIH Predoctoral fellowship.

BusyGrad, Co-founder, Baltimore, MD

November 2011-July 2013

  • Responsible for the business development of a web app that allowed scientists to share supplies and chemicals.
  • Handled venture capital funding and obtained a $25,000 seed investment, and led the company to getting accepted into a Baltimore Business Incubator, and helped us grow to over 3000 users.

GoodStuff, Owner, Baltimore MD

July 2013-Present

  • Developing software that finds products that can be resold online for a profit.
  • Generated $250,000 in sales in our first year.


Education

Ph.D, Cellular and Molecular Physiology, Johns Hopkins University, School of Medicine, Baltimore, MD

April 2009-May 2013

B.S, Biology and Chemistry, California Statue University, Fullerton, CA

August 2001-May 2005


Projects

  • Nedcow: Ecommerce tool that finds online products that can be resold for a profit.
  • Calzone: ML tool that predicts likes/upvotes based on the title of an article/post.
  • Salesrank: Ecommerce ML tool that predicts how fast/slow a product will sell.
  • Suicide prevention bot: Uses sentiment analysis to predict suicidal risk on Reddit. Microsoft has provided free access to ML tools for this project.


Open-Source Contributions

  • Yellowbrick: A suite of visual diagnostic tools that extend the Scikit-Learn package.
  • Vidsum: Generates a summary of any video through its subtitles.


Coursework (In Progress)

  • Data Science Specialization: 10 courses, Certification by Johns Hopkins University
  • Machine Learning Specialization: 4 courses, Certification by University of Washington