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@columbia-university-robotics

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hyuncat/README.md

About me

I'm Sarah, a 3rd year undergrad studying CS+math. I'm involved in a lot of seemingly unrelated research, tied together by a faint interest in math and a passion for creating. Outside of research, I play violin and help lead the Columbia Robotics Club.

Current research

🧩 MOSES | Columbia Gang Lab

A foundational algorithm applying the group theoretic concept of 'symmetry' to chemical engineering. An information-minimizing method for to designing self-assembling DNA origami nanoparticle lattices. Under supervision of Dr. Jason Kahn at Brookhaven and Dr. Oleg Gang at Columbia University. Our paper was accepted to ACS Nano!

🎻 Synchrony | NYU Dennis Shasha Group

An opinionated practice tool for musicians, which compares a user's recording to a MIDI score and computes the user's mistakes in real-time. Uses a probabilistic pitch detection method that utilizes the MIDI to detect note events. Under supervision of the kind NYU professor Dennis Shasha.

🧬 RichCluster | UND Hur Lab

An Rcpp library for performing hierarchical clustering on multiple enriched genomics datasets. Clusters different biological 'terms' based on overlapping gene content. Coded in C++ for fast clustering, with customizable linkage / distance metrics and supporting visualizations. (Paper-in-progress)

💬 Contact me

snorlax

Email: [email protected]

Pinned Loading

  1. ganglab-bnl/MOSES ganglab-bnl/MOSES Public

    An information-minimizing method for designing self-assembling DNA origami nanoparticle lattices.

    Jupyter Notebook 1

  2. Synchrony Synchrony Public

    An opinionated music practice tool

    Jupyter Notebook 1

  3. YIN-algorithm YIN-algorithm Public

    Walkthrough of the YIN algorithm for pitch detection from musical signals.

    Jupyter Notebook

  4. RichCluster RichCluster Public

    Customizable C++ algorithm for clustering biological terms by gene similarity, compiled into an R package with supporting visualizations and for easy use.

    R

  5. pre-walkwise pre-walkwise Public

    Applying the Kalman filter and Map-Matching algorithms to time-series GPS data, for preprocessing the Walkwise model training data.

    Jupyter Notebook 3 1