Colin Young Email & Phone Number

San Francisco Bay Area

Generative AI Research--Foundation Video Models

San Francisco, California, United States

Generative vision team- text to video diffusion

San Diego, California, United States

- Implemented and trained deep neural network architectures to identify natural products by generating molecular fingerprints from Mass Spectrometry and Nuclear Magnetic Resonance data- Improved upon previous CNN based architectures by using transformers, feature engineering, and transfer learning to increase recall by 17%

New York City Metropolitan Area

- Adapted the TIDE evaluation toolkit into object detection network PACO, streamlining model evaluation across engineers and enabling analysis of various network failure cases’ impact on mAP - Developed distributed implementation of image-retrieval score computation on various datasets to benchmark image and text representations learned from natural-language supervision (CLIP)

San Diego, California, United States

- Regularly tutored for cohorts of 200+ students in Advanced Data Structures and Intro to Python- Hosted weekly office hours to assist students on programming assignments and course material- Tested automated exam and programming assignment graders for bugs

Seattle, Washington, United States

- Created a web application for Prime Video’s content recommendation and discovery service to perform search queries and filtering on databases of 20,000+ video assets and their associated metadata- Implemented and tested RESTful API endpoints to interface with DynamoDB and ElasticSearch using JAX‑RS, Jest, and Mockito- Developed a front-end interface to perform search/filter queries and display relevant results using Backbone.js and Bootstrap

San Diego, California, United States

- First author on “An Evaluation of Phylogenetic Workflows in Viral Molecular Epidemiology”, peer reviewed and published in Viruses and accepted for poster presentation in Dynamics and Evolution of Human Viruses 2021 and Society of Molecular Biology and Evolution 2021- Author on “Wastewater and surface monitoring to detect COVID-19 in elementary school settings: The Safer at School Early Alert project”, peer reviewed and published in The Lancet- Integrated GPU compute kernels into the phylogenetic inference tool IQ-TREE, speeding up likelihood computation by over 16x- Discovered an alternate phylogenetic inference workflow that reduces computation time by over 95% with no accuracy loss

• Developed a python script to automate translation of UC Santa Cruz’s Genome Browser data into a format which can be visualized with Circos• Implemented script into AmpliconArchitect, an open source software which reconstructs the structure of cancer samples from whole genome sequence data to aid in chromosomal analysis for cancer research

Bachelor Of Science - Bs, Computer Science

High School Diploma