Amanda Song
Board Member at ARTLAS
United States
Summary
👤
Senior🎓
Top SchoolAmanda Song is a Board Member and interdisciplinary strategist who blends a PhD in cognitive science with 11 years of experience designing AI, digital infrastructure, and machine learning solutions across finance, consulting, and industrial technology. She has delivered production ML at Tesla and Qualcomm, shaped digital infrastructure strategy at the Asian Infrastructure Investment Bank, and now advises art-tech and community-focused organizations like ARTLAS and ARTogether. Trained in neuroscience and life sciences, Amanda brings a systems-level lens that connects technical architecture to human perception, decision-making, and organizational change. Her research into metacognition informs a rare practice: helping leaders cultivate inner clarity and collective coherence as a lever for sustained technological impact. Notably, she translates high-stakes, hardware–software integration experience into strategic guidance for institutions navigating the edges of AI and human judgment.
11 years of coding experience
1 year of employment as a software developer
Predoctral Neuroscience, Predoctral Neuroscience at KU LeuvenExchange Student Visual neuroscience, Exchange Student Visual neuroscience at The University of OsakaUniversity of California, San DiegoBachelor of Science (BS) Life science, Bachelor of Science (BS) Life science at Fudan UniversityVisiting Scholar Psychology, Visiting Scholar Psychology at Columbia University
English, Chinese
Github Skills (8)
science6
psychology5
experimental-design5
javascript5
sbml5
experiment4
browser3
jspsych3
Programming languages (2)
Github contributions (5)
amandasongmm/impression_personality
Apr 2018 - Jan 2019
Contributions:52 pushes in 9 months
amandasongmm/economic_face_perception
Oct 2018 - Feb 2019
This experiment will explore how human extract information from faces that are related to economic preferences.
Contributions:1 PR, 27 pushes, 2 branches in 3 months
pythoneconomicexploredeep-learningcomputer-vision
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