Hello! My name is Bern, and I'm a senior at the University of Chicago pursuing a double major in Economics and Computer Science,
with specializations in Data Science and Machine Learning. My background spans numerous fields:
I've built systems-level infrastructure, developed industry data pipelines, constructed NLP frameworks for causal analysis,
and applied computational biology methods to perform large-scale analysis on HPC clusters.
Through these experiences, I've found that the most interesting problems sit at the intersection of multiple fields and require drawing from diverse toolkits;
whether working with econometric models, machine learning algorithms, or systems programming projects,
the key is knowing when and how to apply different approaches.
My economic foundation provides the analytical framework for thinking about market dynamics and causality,
while my experience in computer science gives me the tools to implement technical solutions at scale. This combination,
sharpened through experience in academic research and industry,
has given me perspective on how theoretical models translate to practical implementation subject to real-world constraints.