Postdoctoral Fellow at Berkman Klein Center for Internet & Society at Harvard University
Cambridge, Massachusetts, United States
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Summary
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Senior
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Top School
Hae Song is a postdoctoral fellow and computational scientist with 11 years of experience researching multimodal representation learning, generative-model fingerprinting, and geometric structures of complex systems. Trained at MIT (BS, MEng) and USC (PhD), Hae has blended academic depth with applied work at Apple, MathWorks, and robotics/startup labs, producing practical systems—from traffic scenario simulators to interactive geospatial visualizers. Their PhD work advanced methods to extract invariant semantic representations across images, audio, and text and to uniquely identify generative models across VAEs, GANs, flows and diffusion models. Less obvious: Hae pairs this probabilistic and geometric focus with hands-on deployment experience, having shipped data collection and visualization tooling that supported real-world decision workflows. Now at Harvard’s Berkman Klein Center, they channel ML expertise toward using AI to serve the humanities rather than the reverse.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Southern California
Master of Engineering (M.Eng.) Electrical Engineering and Computer Science, Master of Engineering (M.Eng.) Electrical Engineering and Computer Science at Massachusetts Institute of Technology
High School Diploma, High School Diploma at The Hotchkiss School
Contributions:2 PRs, 34 pushes, 9 branches in 5 years 3 months
karabinermultiple-machinesasdfstowdotfiles
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