Alex Berman researches how to broaden participation in digital fabrication by leveraging existing online resources with machine learning technologies to supplement traditional STEM mentorship. He has developed websites like HowDIY with self-published datasets like ThingiPano to support Human-Computer Interaction and Machine Learning research broadening participation with Do-It-Yourself Digital Fabrication.
PhD in Computer Science, In Progress
Texas A&M University
BSE in Computer Science, 2015
University of Michigan
I have collected, cleaned, and distributed datasets (like ThingiPano) to help identify patterns and build novel machine learning applications in domains such as cyber-security and 3D printing. Examples include detecting human emotion from webcam videos, classifying over a million 3D files, and detecting cross-modal patterns in darknet marketplace listings.
I have experience collecting observations and conducting studies to inform human-centered design of technologies like augmented reality and machine learning. One example is HowDIY, a website where AI assistants help introduce anyone to 3D printing, based on published studies and observations of both 3D printing practitioners and printing-newcomers.
I have designed, built, and deployed many curricula-aligned science kits for elementary schools in the Making the Maker program, involving creating accessible 3D printed mechanisms and modular circuitry for use by hundreds of K-12 science students. This has involved many multi-disciplinary collaborations, proximal and online, with many domain-experts and students.