William Howard-Snyder

Seattle, WA 98105 · (360) 707-1519 · william122899@gmail.com

I am recent graduate of the University of Washington (woohoo!) and double majored in Computer Science and Philosophy. I am continuing my education as a Master's student studying computer science. My academic interests include machine learning and NLP with an eye towards applying the tools in these fields to biology and medicine.


Experience

Research Intern

Fred Hutchinson Cancer Research Center

HistoryDag: Designing efficient methods for phylogenetic inference.

March 2022 - Present

Research Assistant

University of Washington

OnClass: Helped implement the algorithm and accompanying (open source) software package that uses the Cell Ontology to classify single-cell RNA sequences that are seen or unseen at training time. My contributions include implementing a PyTorch model of the neural network in OnClass, and improving the memory efficiency of the full algorithm from ~25 GB to under 8 GB.

Senior Thesis: I continued to work with Professor Sheng Wang on my senior thesis, which used contrastive learning to improve single-cell classification for neural models.

June 2021 - June 2022

Teaching Assistant

University of Washington

Led a weekly review section of 25 students for the course CSE 312: Probability and Statistics. I also had other TA responsibilities such as grading, holding office hours, and designing high quality slides/worksheets. In my last quarter TAing (out of 3), I was the head section TA, and designed the lesson plan for the sections that TAs held. This involved curating questions and review materials weekly, as well as presenting the section plan to the rest of the teaching staff.

June 2020 - March 2021

Philosophy Writing Tutor

University of Washington

Reviewed the papers and assignments of undergraduate students enrolled in philosophy classes by critiquing the structure of their arguments and writing.

October 2019 - June 2020

Education

University of Washington

Master of Science
Computer Science
September 2022 - June 2024

University of Washington

Bachelor of Science
Computer Science

GPA: 3.9

September 2018 - June 2022

University of Washington

Bachelor of Arts
Philosophy

GPA: 3.9

September 2018 - June 2022

Projects

This is the final project for a graduate class I took on deep learning. The idea is that given a query image and a database of images, I want to rank the images in the database according to how similar they are to that query image (like Google’s image search) by comparing the 2048 dimensional ResNet extracted features (the ones right before the final fully connected layer is applied). I evaluate this image retrieval system on ImageNet 1k across a variety of ANN data structures (like Kd trees, LSH tables, and HNSW graphs) using metrics like accuracy, MAP@50, query time, and space.