This is a list of projects past and current that I have worked on. In no particular order. Some of these can be found on my GitHub, some are private, meaning they are not publicly accessible (right now).
AnyCount [Private]
A project in which the main task is to count and characterize many cells in microscopy slides.
Turtle [Private]
A project in which the main task revolves around generating high quality SQL for use in an OMOP CDM based EHR system.
Multivariate Time-Series Outlier Detection [Private]
A project in which we try to find outbreaks / anomalies in multivariate time-series with a training-free algorithm, based around diffusion.
GNN Based Regional Covid Forecasting [Private]
A project in which we try to analyze and forecast the spread of the pandemic in germany by integrating many different data modalities.
Improving Traffic Delay Prediction through integration of Weather Effects [Private]
A project in which we deal with billions of datapoints in a PostGIS database, both location specific as well as raster data. The goal being to improve the forecasting of delays in the traffic flow for logistics.
UFLT - Ultra Fast Labeling Tool
A project trying to deliver a simple to setup and simple to use tool to label many images quickly. Based around PassiveAgressive Classifiers and an interesting representation.
SonificationPlayground
A project I did in my Masters, to explore the capabilities of the WebAudioAPI. Supposed to be used to 3D sonify interesting datasets.
Julia packages I am working on:
HiPPO.jl
Julia implementation of the methods described in Gu et al. “Hippo: Recurrent Memory with Optimal Polynomial Projections”1
PureFFT.jl
A pure Julia implementation of the Cooley-Tukey FFT Algorithm.
PassiveAgressive.jl
OnlineStats.jl compatible Implementation of the methods described in Crammer et al. “Online Passive-Aggressive Algorithms”2
BYOL.jl
Implementation of the “Bootstrap your own Latent” method for Julia.
Gu, A., Dao, T., Ermon, S., Rudra, A., & Ré, C. (2020). Hippo: Recurrent memory with optimal polynomial projections. Advances in neural information processing systems, 33, 1474-1487. ↩︎
K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, and Y. Singer, “Online Passive-Aggressive Algorithms,” Journal of Machine Learning Research, vol. 7, no. 19, pp. 551–585, 2006. ↩︎