Benjamin Cowen is a highly skilled Forward Deployed ML Engineer at Modal, specializing in building serverless applications for diverse workloads since April 2025. Previously, Benjamin served as an Assistant Research Professor at Penn State University from August 2020 to April 2025, where $1.8 million in research funding was raised for applied machine learning research focused on underwater robotics. Benjamin's experience also includes a role as a Senior Scientist at the Nevada National Security Sites, conducting image and video processing research, and a Software Engineering Internship at NVIDIA, where a data augmentation and preprocessing pipeline for autonomous vehicles was implemented. Additionally, Benjamin worked as a Research and Design Engineer at OptoQuest, developing a pipeline for 3D modeling of corneas from optical coherence tomography measurements. Educational qualifications include a PhD in Electrical Engineering from New York University and two degrees in Applied Mathematics from Case Western Reserve University.
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