Ian Magnusson
Student Researcher at Ai2
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolIan Magnusson is a Predoctoral Young Investigator and student researcher focused on the science of language models, with seven years of research and applied ML experience at AI2, AWS, and SIFT. He combines a BA in cultural anthropology with an MS in computer science and ongoing PhD work at the University of Washington to bridge humanistic perspectives and rigorous engineering in NLP. His research emphasizes reproducibility, robust evaluation, and domain-aware modeling to make language models both efficient and better understood. Ian has practical experience moving research into practice through internships and research engineering roles, and he contributes to the UW and AllenAI NLP communities. Based in Seattle, he balances technical depth with quieter pursuits—meditation, woods skiing, and a science-fiction book club—that inform a reflective approach to research.
7 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of WashingtonAdvanced Study Program, Advanced Study Program at Massachusetts Institute of TechnologyBachelor of Arts - BA, Bachelor of Arts - BA at Bard CollegeMaster of Science - MS, Master of Science - MS at Northeastern University
Github Skills (39)
pytorch10
python10
expressions10
machine-learning10
deep-learning10
natural-language-processing10
lifetime10
modification10
transformer10
speech-recognition10
nlp10
adaptation10
evaluation9
transformers9
emotion9
Programming languages (3)
Github contributions (5)
MangeFre/IITUDND
Nov 2019 - Feb 2020
Identifying Informative Twitter Users During Natural Disasters
Contributions:157 commits, 1 PR, 127 pushes in 3 months
informativenatural-disasterstwitternaturaldisasters
IanMagnusson/Wav2Lip-Emotion
Mar 2021 - May 2022
Wav2Lip-Emotion extends Wav2Lip to modify facial expressions of emotions via L1 reconstruction and pre-trained emotion objectives. We also propose a novel automatic evaluation for emotion modification corroborated with a user study.
Contributions:132 commits, 1 PR, 7 pushes in 1 year 2 months
reconstructionemotion-recognitionemotionautomatic-evaluationfacial-expressions
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