Grace Song
Product Manager at The D. E. Shaw Group
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolGrace Song is a product manager and computer science MEng from MIT with five years of experience bridging research and product across AI, education, and finance. She has moved from hands-on research roles at the MIT Media Lab and Data-to-AI Lab into applied machine learning internships and rotational product roles, and now leads discretionary tech product work at D. E. Shaw in New York. Her academic focus on language, morality, and education complements practical experience building research-driven features and learning platforms. Comfortable in both research labs and high-stakes finance teams, she brings a rigorous experimental mindset to product decisions and a track record of translating cognitive science insights into usable systems. An early pattern in her career is blending interdisciplinary research with product execution—making technical depth and user-centered thinking mutually reinforcing.
5 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Massachusetts Institute of TechnologyHigh School Diploma 4.0/4.0, High School Diploma 4.0/4.0 at Clear Lake High School
Github Skills (8)
unsupervised-learning10
generative-adversarial-network10
anomaly-detection9
benchmarking9
time-series7
machine-learning7
deep-learning7
data-science6
Programming languages (1)
Github contributions (5)
rickono/65830-final-ono-song
Dec 2023 - Dec 2023
Contributions:6 pushes in 9 days
weblab-class/kale-grater
Jan 2021 - Jan 2021
Contributions:74 commits in 11 days
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