Erik An
Mathematics and Data Science, University of Vienna
I study mathematics and data science at the University of Vienna. My technical work sits between signal processing, machine learning, and computational neuroscience, working toward brain–computer interfaces.
Before Vienna I completed the 42 Core Curriculum and am continuing the 42 Advanced track in parallel, with a specialization in data science.
education
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University of Vienna ·
Bachelor in Mathematics. Probability, statistics, linear algebra, analysis, and computational methods.
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42 Vienna — Advanced ·
Data science specialization, ongoing.
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42 Wolfsburg — Core Curriculum ·
Software engineering. Completed in one year, among the first in the cohort to finish.
selected work
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mfds
An open, plain-text workspace for the Mathematics and Data Science degree — lecture notes, problem sets, and mock exams, with executable Julia, Python, and C++.
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transcendence
A real-time multiplayer web application — microservice backend, live gameplay, single-player AI opponent.
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webserv
An HTTP server in C++ — request parsing, CGI, non-blocking I/O, connection management.
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minishell
A Unix shell in C — lexer, parser, pipes, redirections, environment handling, builtins.
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ft_linear_regression
Linear regression from scratch in C++ — gradient descent, feature normalization, model evaluation.
tools
Julia, C/C++, JavaScript, SQL. Docker, Git, Emacs.