Research Assistant (Pre-Doctoral)

University of Pennsylvania

Biography

I am a Research Assistant at the Computational Social Science Lab at University of Pennsylvania. I previously worked at Microsoft Research, NYC in the Computational Social Science group. I have a Masters of Computational Social Science from the University of Chicago with my thesis research on using deep learning to estimate the memorability of images. As an undergraduate at Washington University in St. Louis, I majored in Physics and Economics, and minored in the Philosophy of Science. My work focuses on developing novel methods for social scientific concepts. My hobbies include analyzing video games, cooking, and playing classical guitar.

This site is intended to be a place for me to post my projects, some personal, some academic. They are mostly computational in nature, but some are philosophical.

Interests
  • Artificial Intelligence
  • Computational Game Theory
  • Information Science
  • Cultural Patterns
  • Information, Its Spread, and Individual Epistemology
Education
  • MA in Computational Social Science, 2021

    University of Chicago

  • BA in Economics and Physics, 2019

    Washington University in St. Louis

Skills

R
Data Science
Physics
Artifical Intelligence
Economics
Python
Game Design
Philosophy of Science
Writing
Linux
Rust
Data Engineering

Experience

 
 
 
 
 
Predoctoral Researcher
Aug 2022 – Present Philadelphia, PA

Research and Development on multiple projects across the behavioral sciences. Projects include:

  • Examining past behavior of News Publishers to better understand the speed of the news cycle.
  • Constructing a “News Observatory” to monitor news publishers’ behavior online.
  • Building a “Living Journal” to aid in the publication of social scientific research, and improving the rigor of non-scientific writing.
    • Includes building a new statistical framework for use on the web, authorship management systems, and site management tools, all with a KISS-focused structure.
 
 
 
 
 
Predoctoral Researcher
Microsoft Research
Jun 2021 – Jul 2022 New York, NY

Performed research on multiple projects across the behavioral sciences. Projects include:

  • Examining past behavior of News Publishers to better understand the speed of the news cycle.
  • Analysing text data using deep learning to better understand market penetration of durable goods.
  • Project Ratio
 
 
 
 
 
Research Assistant
University of Chicago, Biological Sciences Division, Department of Medicine
Jun 2020 – Jun 2021 Chicago, IL
Develops an on-line system for evaluating cognitive function.
 
 
 
 
 
Research Assistant
Mar 2020 – Jun 2021 Chicago, IL
Develops Computer Vision models for understanding memory and memorability. Currently focused on developing novel techniques for predicting the memorability of an image.
 
 
 
 
 
Freelance Data Scientist
May 2019 – May 2020 St. Louis, MO / Chicago, IL

Provided Data Science Services to Various Clients. Responsibilities include:

  • Interviewing Potential Full-Time Data Scientists
  • Building Statistical Learning Tools
  • Natural Language Processing Analysis
  • Machine Learning Development and Deployment
 
 
 
 
 
Programmer/Data Scientist (Internship)
May 2018 – Aug 2018 St. Louis, MO
Continued development of previous non-scientific automation. Created new data models for donor identification. Other data analysis and visualization projects.
 
 
 
 
 
Real Estate Analyst (Internship)
May 2017 – Aug 2017 Rancho Santa Margarita, CA
Wrote automation programs for data processing, and constructed a model for optimal rent estimation. Built data mining programs for continued use by analysts.
 
 
 
 
 
Economics Simulation Programmer
May 2016 – Aug 2017 St. Louis, MO
Built macroeconomic simulations for teaching of Economics 4121. Wrote simulations in Mathematica for the ISLMFE model, the Solow-Swan model, and permutations thereof.

Recent Posts

Projects

Recent Publications

(2021). Embracing New Techniques in Deep Learning for Predicting Image Memorability. Computational Brain and Behavior..

arXiv URL