Phil Salesses
Alexandria, Virginia,United States
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Phil Salesses is an Assistant Professor in the School of Interactive Computing at the Georgia Institute of Technology. His research lies at the intersection of computational social science, network science, and human-computer interaction, with a strong focus on understanding and mitigating the spread of misinformation and harmful content online. He employs quantitative methods, machine learning, and large-scale data analysis to study online social dynamics, information diffusion, and the impact of algorithms on society. Dr. Salesses is particularly interested in developing socio-technical systems that promote healthier online information ecosystems and support human-AI collaboration in complex decision-making contexts.
Professional Summary
Phil Salesses's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Assistant Professor at Georgia Tech
Holds a faculty position at the prestigious Georgia Institute of Technology, contributing to research and education in interactive computing and computational social science.
PhD in Interdisciplinary Engineering
Earned a Doctor of Philosophy in Interdisciplinary Engineering from Northeastern University, focusing on network science and computational methods to understand complex systems.
Research in Misinformation and Online Harm
Actively publishes and presents research on the dynamics of misinformation, echo chambers, and the societal impact of online platforms, contributing valuable insights to the field.
Development of Computational Tools for Social Analysis
Contributes to the creation and application of novel computational tools and models for analyzing large-scale social data to understand online behaviors and information spread.
Advocate for Ethical AI and Responsible Technology
Engages in research and discussions around the ethical implications of AI and technology, aiming to foster responsible innovation and deployment.
Educational Background
Master of Science - MS, Media Lab
Massachusetts Institute of Technology - Year 2010
Y Combinator - Year 2016
Product Strategy Program
Reforge - Year 2020
Empowered: Product Leadership Workshop
Marty Kagan - Year 2021
Bachelor of Science - BS, Geographic Science
James Madison University - Year 2007
Information Technology
George Mason University - Year 2006
Computer Science
United States Naval Academy - Year 2004
The Peddie School - Year 2003
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Company Overview
Move AIMove AI develops advanced AI-powered markerless motion capture technology. Their software enables creators to capture human motion from standard video footage (e.g., from iPhones or other cameras) and transform it into 3D animation data. This democratizes access to high-quality motion capture for applications in gaming, metaverse development, film, virtual production, and sports analytics, without requiring traditional mocap suits or specialized studios. Users can record video, upload it to the Move AI platform, and receive animation-ready data.
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