Hello, my name is Peter Clark

AI and Python Developer / Researcher / Data Scientist

About Me:

I am an associate researcher working with the Multi-Modal Interaction Lab at the Music Technology Group. While I currently reside in Barcelona, I am originally from Alaska and have lived internationally for most of my life in countries including Bhutan, Bosnia and Herzegovina, Republic of Georgia, Moldova, Netherlands, and Uruguay. I am incredibly interested in philosophy of mind, abiogenesis and the origin of complex behaviors from simple systems, the absurdity of the universe, ontologies and semiotics, and more...

I’m looking for work in these or related fields: AI development/research, Data Science, Perception Engineer

Education:

MSc Sound and Music Computing [UPF]

BSc Artificial Intelligence [RUG]

BA Philosophy of Cognitive Science [RUG]

Programming Languages

Python, git/GitLab, R, MATLAB, MySQL, C.

Machine Learning: TensorFlow, PyTorch, SciKit-learn, Keras.

Data Analysis And Visualization: NumPy, Pandas, Seaborn, Matplotlib.

You can reach me at [email protected] or on LinkedIn.

Find out more about me at: peter-clark.github.io

Peter Clark's Projects

audio-classifier

Personal audio genre classifier to sort my music by my own arbitrary genres/similarity, for mixing and general listening. (Ongoing)

code-helpers

Useful functions.

data-viz

For data visualization and analysis projects.

monophonic-flattening

Thesis Project centered around monophonic flattening on polyphonic drum patterns based on cognitive principles of human music perception. The way we achieve the flattening of these complex drum patterns considers factors such as density of the onsets by frequency group, strength of syncopation salience, and consideration of metrical pulse salience.

research-papers

A collection of works completed over the last few years spanning multiple fields of interest.

tap-to-drums

Tap to Drums: Extending Monophonically Tapped Rhythms to Polyphonic Drum Generation. Exploring rhythm perception literature, develop algorithms to extract a monophonic rhythm from a polyphonic drum pattern. Predict a location in rhythm space. Generate polyphonic drum pattern.

ticket-to-ride

Representation of Ticket to Ride: Rails and Sails board game. The purpose of this repository is to crunch some numbers about optimization in Ticket to Ride.

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