Eric Schmid
Technology / Internet
About Eric Schmid:
I am a ML/Quantitative Analytics Research Associate with expertise in developing machine learning models for cryptocurrency forecasting, utilizing tools such as PyTorch and scikit-learn, while also being skilled in functional programming languages including Haskell and dependently typed languages like Agda, Coq, and Idris. My diverse background spans quantitative finance, software development, and academic research, with a particular focus on applying topological data analysis and category theory to financial markets while pursuing a PhD in Mathematical Sciences on applied algebraic topology and AI.
Experience
ML Research Associate/Functional Programmer
Education
MS in Applied Mathematics
DePaul University
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