My research focuses on visual analytics and visualization of biomedical data.
Currently working with the Lab of Systems Pharmacology, working with multi-channel microscopy data.
I was raised in St. Louis, MO and have lived in Cambridge, MA since 2015.
I have some other interests. They include:
A flexible and scalable application for the analysis and display of multiplexed cell tissue data.
Developed between the Visual Computing Group at the John A. Paulson School Of Engineering And Applied Sciences and the Laboratory of Systems Pharmacology at Harvard Medical School.
Bias in NLP Embeddingswarchol.medium.com/bias-in-nlp-embeddings-b1dabb8bbe20
Assessing bias in NLP embeddings and transformer-based models. Using fine-tuning on BERT to mitigate this bias.
Final Project for AC295, “Topics in Applied Computation: Advanced Practical Data Science.”
Population prediction via CNNs and geospatial imagerygithub.com/chickert/geospatial_analysis
Using Google Earth Engine, satellite imagery, and Convolutional Neural Networks to predict the population of US Census Tracks.
Final Project for Michael Brenner’s APMTH 216 “Inverse Problems in Science and Engineering.”
Parallel Graph Algorithmsgithub.com/kaelanelson/CS205-Final-Project
Hybrid parallel implementations of graph algorithms in MPI and OpenMP.
Final Project for CS205, “Computing Foundations for Computational Science.”
Visualizing Mass Incarcerationcs171-final-project.github.io/Final-Project
Visualizing mass incarceration and the school-to-prison pipeline in the US with D3.
Final Project for CS171.
Visualizing NBA team & player defense using Processing.js.
NBA Height & Weight Trendssimonwarchol.github.io/NBA-Height-Weight/
Scraping Basketball-Reference with Beautiful Soup and visualizing the trends in these data with D3.