# Tommy Bruzzese > 3D Vision PhD, EPFL | Stanford AI '23 '24 | Focus in Digital Humanities, Art, Fashion Location: San Francisco Bay Area, United States Profile: https://flows.cv/tommybruzzese I’m a PhD student (on-leave) at EPFL in Computer Science and Communication, studying 3D Vision and Digital Humanities — with a focus on art and fashion. I recently graduated with my Bachelor's and Master's from Stanford where I led the premier FashionX club for four years in fashion data analysis projects, 3D/AR design cohorts with CLO3D and ZERO10, and runway shows at iconic campus venues like Memorial Church. At Stanford, I was researcher in human-computer interaction, neuroscience, and LLM-assistant labs. I am a strong product engineer, having designed and developed for Tesla Supercharging, Apple, and Expo. ## Work Experience ### Software Engineer for AI Research @ Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine Jan 2025 – Present Leading user research, LLM model development, and React platform for AI program for Autism Spectrum Disorder in partnership with Prof. Lynn Koegel of Stanford Medicine and Prof. Monica Lam of Computer Science Supported by Stanford HAI Seed Grant (2023) and Lucile Packard Foundation, Association of Auxiliaries for Children ### Collaborating Researcher @ Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine Jan 2024 – Jan 2025 ### Alumni Advisor @ FashionX Jan 2024 – Present ### Executive Director @ FashionX Jan 2023 – Jan 2024 - Co-led two cohorts of yearly AR/3D design project with CLO3D and ZERO10 - Stage manager for 100 student models and 50 student designs for second annual Runway in Memorial Church ### Vice President @ FashionX Jan 2020 – Jan 2022 - Lead Editor of Fashionable Data book on data-backed runway trends. Directed 9 students in conducting Python analysis and creating data visualizations on Coach, Prada, and French influencer fashion - Lead our website, social media, and art direction for outreach to 250 club members and campus-wide marketing. - Design event spaces for our quarterly Flea Market/Clothing Swap and our annual Conference with industry leaders. ### Graduate Course and Research Assistant @ Stanford University Department of Computer Science Jan 2023 – Jan 2024 Course Assistant for Spring 2024 CS221: Artificial Intelligence, a 300-person graduate-level class, Stanford’s flagship AI class; mentored student projects, led homework assignments, and coached students Research Assistant for Winter 2024 for Prof. Monica Lam in Open Virtual Assistant Lab (OVAL) Course Assistant for Fall 2023 CS224V: Conversational Virtual Assistants w/ Deep Learning, a 100-person graduate-level course; taught lecture on Ethics, alignment, and AI-humanities; mentored 7 project groups on social-good LLMs ### Software Engineering Intern (Hardware Technology) @ Apple Jan 2021 – Jan 2021 Silicon Engineering Group, worked on internal tools for hardware asset management ### Product Management Intern (Supercharging UX) @ Tesla Jan 2021 – Jan 2021 Helping accelerate the world’s transition to sustainable energy. ### Technical Researcher and Mobile Developer, Health Tracking @ Stanford HCI Group Jan 2020 – Jan 2021 - Analyzed the frustrations of 400 users who manually track emotions and fitness activity. - In team of 5, building digital tool that uses long-term data review and device affordances to enhance manual tracking. ### Full Stack Software Engineering Intern @ Expo Jan 2020 – Jan 2020 | Palo Alto, California, United States - Developed and deployed new dashboard that streamlines all updates to an Expo project. - Built responsive React UI that renders a custom object for each update type. - Solved issue of data being stored in multiple databases by developing new GraphQL API. Collaborated with Senior Engineers to build custom pagination. ### Technical Researcher, AI-Generated Text @ Stanford University School of Engineering Jan 2019 – Jan 2020 - Published CHI 2020 Late-Breaking Work - Co-wrote and presented paper on how confidence indicators affect user trust when applied to AI-written profile bios. - Led development of Amazon Mechanical Turk tasks in JavaScript and built multi-layer survey randomization. ## Education ### Doctor of Philosophy - PhD in Computer Science and Communication EPFL ### Master of Science - MS in Computer Science (AI concentration) Stanford University ### Bachelor of Science - BS in Symbolic Systems Stanford University ### High School Diploma Boston College High School ## Contact & Social - LinkedIn: https://linkedin.com/in/tommybruzzese - Website: http://www.tommybruzzese.com - Website: https://github.com/tommybru --- Source: https://flows.cv/tommybruzzese JSON Resume: https://flows.cv/tommybruzzese/resume.json Last updated: 2026-04-05