Jonah O'Brien Weiss

👋 Welcome to my website!

I’m a research engineer at MathWorks, working in image processing, computer vision, and automated visual inspection spaces.

I contribute to a team focused on solving challenging problems at the intersection of AI and industrial manufacturing. Some of my work includes:

• fine-tuning multimodal embedding models to automate and improve quality control through anomaly detection
• designing proprietary image metrology tools for automated, precise measurement
• implementing industry standard template matching algorithms from expired patents
• performing literature surveys and assessing which state-of-the-art research is best fit to complement MathWorks’s product offerings.

These solutions reduce waste and cost of manufacturing at scale, leading to cheaper products which benefit everyone.

As a scientist, I’m broadly interested in the theoretical foundations and practical applications of core deep learning areas like computer vision, generative models, and adversarial machine learning.

Previously, I completed my Master’s in Computer Engineering with a focus on Machine Learning from the University of Massachusetts Amherst, where I was advised by Sandip Kundu and worked on adversarial attacks and defenses to deep neural networks. I have also brought robots to life at Amazon Robotics (2022), wrangled big data at Tesla (2021), and prevented supply chain attacks at Dell (2020).

Outside of work, I like to balance my technical pursuits by staying active (soccer, gym, running), expressing creativity through drumming (@jonahobwdrums), exploring a wide range of topics through reading, (philosophy, psychology, economics, social issues), and recharging with good food and good company.