Curriculum Vitae

EDUCATION

July 2022

May 2016

Ph.D. Sustainable Development

Columbia University - New York, NY

B.A. Economics

University of Virginia - Charlottesville, VA

B.A. Environmental Science

University of Virginia - Charlottesville, VA

RELEVANT EXPERIENCE

August 2020- July 2021

january 2019 - July 2020

Summer 2019

PhD Intern -

Capital One Applied Machine Learning Research- New York, NY

Investigated novel structures to perform counterfactual analysis with standard and variational autoencoders

Curriculum Innovation Fellow

Foundations of Research Computing - New York, NY

Designed and taught workshop “Machine Learning for Social Scientists”. Helped teach Intro to TensorFlow, Intro to NLP, and Intro to PyTorch, and Software Carpentries lessons

Ph.D. Fellow

Bloomberg Data for Good Exchange - New York, NY

Provided data management and analysis consulting for nonprofit organization.

TECHNICAL SKILLS

Languages

ml packages

utilities

other

Python, R, JavaScript, SQL, MATLAB, C++, Stata

Sklearn, TensorFlow, Keras, PyTorch, Pyro, TensorFlow Probability

Pandas, Numpy, Matplotlib, Tidyverse, Multiprocessing, Beautiful Soup

Git, Jupyter, Linux, LaTeX

SELECTED COURSEWORK

Machine

learning

computer science/

statistics

Economics

Probabilistic Programming (Alp Kucukelbir), Machine Learning (Nakul Verma), Applied Deep Learning (Josh Gordon), Representation Learning (David Blei), Computer Vision (Carl Vondrick)

Statistical Causality (David Blei), Algorithms (Eleni Drinea), Foundations of Graphical Models (David Blei)

PhD Econometrics 1 & 2 (Jushaun Bai) , PhD Microeconomics 1 & 2 (Mark Dean, Yeon-koo Che)