Mia Chiquier
Research Scientist at Mistral AI
United States
Summary
👤
Senior🎓
Top SchoolMia Chiquier is a research scientist and Columbia CS PhD with nine years of experience advancing computer vision and multimodal learning, now at Mistral AI after research stints at Meta and academia. Her work spans applied and theoretical ML—from predicting solar and electrical production for smart grids to using binaural audio to infer vehicle optical flow—demonstrating a knack for cross-modal sensing and real-world impact. Supported by an Amazon & Columbia CAIT Fellowship and advised by Carl Vondrick, she blends rigorous research with product-minded implementations. Mia’s background in deep learning, signal processing, and graph-based trend detection reflects both breadth and depth across industry and academic settings.
9 years of coding experience
3 years of employment as a software developer
High School, High School at Washington International SchoolPh.D student Computer vision & multimodal learning, Ph.D student Computer vision & multimodal learning at Columbia UniversityBachelor’s Degree Computer Science Major + Mathematics minor + Systems Eng minor + Computational Neuroscience minor, Bachelor’s Degree Computer Science Major + Mathematics minor + Systems Eng minor + Computational Neuroscience minor at University of Pennsylvania
french (native + fluent), polish (native + fluent), English, spanish (intermediate)
Github Skills (13)
deprecated10
mlp9
jupyter-notebook9
deep-learning8
machine-learning8
scikit-learn8
python8
tensorflow8
neural-network7
ml6
computer-vision4
javascript2
data-structures2
Programming languages (3)
Github contributions (5)
cvlab-columbia/voicecamo
Dec 2021 - Apr 2022
Code for the paper Real-Time Neural Voice Camouflage
Contributions:17 commits, 15 pushes, 1 branch in 4 months
mchiquier/msynth
Feb 2022 - Apr 2022
Contributions:24 commits, 1 PR, 19 pushes in 2 months
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