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Mae Hwee Teo

Mae Hwee Teo

Physicist and ML/AI leader bridging theory and applied ML

mae
San Francisco, California
Joined November 2025

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NationGraph Team
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UC Berkeley Affiliates

Summary

Expertise in theoretical/astrophysical particle physics with a focus on black‑hole superradiance and light bosonic fields. Her PhD dissertation (Stanford 2020) and multiple INSPIRE/ arXiv listings document analytic calculations of superradiant growth rates for vector particles, constraints from black‑hole spin measurements, and prospects for gravitational‑wave detection. stanford+2
Transitioned from academic theory to quantitative and applied roles in industry: public professional records list a quantitative research internship at Citadel (2019) followed by a quantitative researcher role (2020–2023), a garden‑leave period, and a move into ML/AI leadership at NationGraph beginning in 2025. This indicates capability in quantitative modeling, data‑driven research, and applied machine learning leadership. linkedin
Active educator and mentor: maintained teaching roles while at Stanford (teaching assistant and instructor for SPCS Relativity) and held lecturer roles (UC Berkeley listed on professional profile). These experiences reflect strengths in explaining advanced physics topics to both university and pre‑college audiences. stanford+1
Collaborative researcher with a sustained publication record: INSPIRE and ORCID entries show multiple coauthored papers across gravitational physics, particle/astroparticle phenomenology, and contributions to collaborations (e.g., SeaQuest/experimental collaborations listed among literature). inspirehep+1

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