Noah McDermott

Noah McDermott has a diverse work experience in the field of quantitative analytics, machine learning, and software engineering. Noah is currently working as an Associate in Quantitative Analytics at Anchorage Capital Group. Prior to that, they were a Quantitative Research Intern at Brevan Howard.

Noah also gained valuable experience as a Machine Learning/Signal Processing Intern at Leidos, where they contributed to building robust automatic target recognition systems for military aircraft. Noah developed an artificial neural network for image classification with a 98.4% accuracy, even on unseen classes, and implemented a synthetic data pipeline to reduce training data acquisition costs and time.

Additionally, Noah worked as a Software Engineer Intern at Leidos, where they gained practical experience in software development. Noah also served as an Undergraduate Research Fellow at Stevens Institute of Technology, where they contributed to various projects involving machine learning, image recognition, humanoid robot programming, and wearable robotics. Noah'swork in designing a novel method to bypass image recognition systems and developing a gait system for medical research showcases their innovative thinking and problem-solving skills.

Noah's professional journey also includes a role as a Software Engineer Intern at Worldwide Glass Resources, where they developed software solutions.

Overall, Noah McDermott's work experience demonstrates their proficiency in quantitative analytics, machine learning, and software engineering, with a focus on developing innovative solutions and contributing to impactful projects.

Noah McDermott began their education in 2017 at Stevens Institute of Technology, where they pursued a Bachelor of Engineering (BE) degree in Electrical Engineering. Noah successfully completed this program in 2021.

Following their undergraduate studies, Noah enrolled at Columbia University in 2021 to pursue a Master of Science (MS) degree in Computer Science. Noah is expected to complete this program in 2022.