Blake Law

Blake Law

Math and Data Science @ GT

Hey! My name is Blake.

Hey! My name is Blake. | Blake L. Law

I am currently an undergraduate at Georgia Tech, majoring in mathematics with a concentration in data science.

I have worked as a research intern at Kennesaw State University’s mathematics department and this summer I will be a data science intern at Perpay, a financial firm focused on providing credit to underserved communities.

My current academic interests revolve around markets, machine learning, and public policy. Outside of school, I enjoy playing the piano, hiking, tennis, and geoguessr. If you have any exciting opportunities or questions, don’t hesitate to email me at blakelaw@gatech.edu.

Updates

  • Joined Georgia Tech’s Equity Research Boutique to research and build models for technology and transportation stocks
  • Researched the accuracy of financial exchanges (including the CME and Kalshi) in predicting the federal funds rate, the interest rate the Federal Rerserve routinely sets. Featured and interviewed in frontpage MarketWatch article
  • Spent the summer in Philadelphia working as a data scientist at Perpay, a fintech firm focused on providing credit to underserved communities. I focused on building machine learning models for credit scoring algorithms, with a focus on creating tools to help users improve their credit score
  • Worked on a project to identify cultural regions in Georgia that are smaller than a city – which I have termed “microregions” – through natural language processing and clustering analysis. Live Demo with Cobb County, where I grew up (DM me on Twitter @blakelawga and I create one for your county).
  • TA’d MATH 4261 (Mathematical Statistics I) and MATH 4347 (Partial Differential Equations I) for the Fall 2023 semester
  • Investigated the bias of NBA referees through propensity score matching and three other quantitative methods (article, Github)
  • Created a method to identify alternate accounts operating online through NLP and machine learning techniques
  • Graded for MATH 3215 (Introduction to Probability and Statistics) and MATH 3670 (Probability and Statistics with Applications) in Summer 2023
  • Interned at the KSU Department of Mathematics to research the efficiency of traffic flow in roundabouts, four-way stops, and traffic lights and created queueing models for each