Hunter Heidenreich | Senior AI Research Scientist — Page 5

An in-depth guide to GANs: how two neural networks compete to generate realistic data, the math behind it, and the evolution of objective functions that stabilize training.

Learn how computers understand words through mathematical vectors, from simple counting methods to contextual embeddings that power modern NLP.

A sophomore year deep dive into functional metaprogramming, replicating FFTW’s genfft metaprogram logic in Haskell to generate straight-line optimized C kernels for FFTs, using symbolic DAG representation and algebraic simplification to understand how abstract algebra translates into efficient machine code.

A freshman-year automation tool solving the university scheduling constraint satisfaction problem through web scraping Drexel’s Term Master Schedule and implementing recursive backtracking algorithm to generate every valid schedule permutation satisfying user-defined hard and soft constraints, used throughout undergrad 2016-2020.

A 24-hour hackathon project exploring algorithmic musicology by using a webcam to scan a Rubik’s cube and generate audio based on color configuration, implementing first-principles waveform synthesis with byte-by-byte PCM generation and equal temperament frequency calculations to map visual entropy to harmonic resolution.

A wildly ambitious high school project (2014) to create a fighting game with 37 playable periodic table elements, assembling a team of artists and a composer to build a playable demo and launch a Kickstarter - teaching invaluable lessons about project management and creative collaboration despite the campaign’s failure.