Scholar
Mark Hamilton
Google Scholar ID: kgZtMGsAAAAJ
MIT, Microsoft
Citations & Impact
Citations
1,141
H-index
14
i10-index
17
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Published 'I-Con: A Unifying Framework for Representation Learning' at ICLR 2025
- - Presented 'Separating the “Chirp” from the “Chat”: Self-supervised Visual Grounding of Sound and Language' at CVPR 2024
- - Contributed to 'FeatUp: A Model-Agnostic Framework for Features at Any Resolution' at ICLR 2024
- - Authored 'Seeing Faces in Things: A Model and Dataset for Pareidolia' at ECCV 2024
- - Showcased 'Large Scale Automatic Audiobook Creation' at Interspeech 2023
- - Organized MultiEarth '22 and '23 Workshops at CVPR
- - Awarded the National Science Foundation Graduate Fellowship in 2021
- - Delivered a keynote talk at Spark + AI Summit in 2019
- - Collaborated with the Snow Leopard Trust in an International Microsoft Advertising Campaign in 2019
- - Received ACS Editors’ Choice Award for research on Legionella pneumophila, featured on the cover of Environmental Science & Technology in 2019
Research Experience
- - Microsoft, Principal Engineering Manager, 2024 - Present
- - Microsoft, Senior Software Engineer, 2016 - 2024
- - MIT, Visiting Researcher, 2025 - Present
- - Yale Coifman Applied Math Group, Summer 2015
- - KWARC Knowledge Representation Group, Summer 2014
- - Yale Active Galactic Nuclei Lab, Summer 2013
Education
- - MIT, PhD in Computer Science, 2019-2025, Advisor: William T. Freeman
- - Yale University, B.Sc in Math and Physics, 2012-2016
Background
- A Principal Engineering Manager at Microsoft, leading the SynapseML product team. Concurrently, he is pursuing a PhD in Computer Science from William T. Freeman's lab at MIT CSAIL. His research focuses on creating algorithms capable of learning without human labels.
Miscellany
- Personal interests not mentioned
Co-authors