Tommy Tang
MARTIANS Intern at Sandia National Laboratories
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolTommy Tang is a statistics-focused researcher and practitioner with nine years of experience applying spatial statistics, causal inference, and optimization to real-world problems. Currently a MARTIANS intern at Sandia National Laboratories and a PhD candidate at UIUC, he develops Bayesian models for spatially varying climate risk and studies identifiability in linear models with unmeasured spatial confounders. His prior work at Yale fused Gaussian process methods with particle tracking velocimetry for biomedical flow estimation and contributed theoretical results relevant to cryo-EM. Tommy combines deep mathematical training (BA in Mathematics, Yale) with hands-on algorithm development, and his background includes a novel elementary proof presentation of the Peter–Weyl theorem. He brings a blend of theoretical rigor and applied modeling that is well suited to national-security and scientific inference challenges.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Yale University
Chinese, Spanish, German
Github Skills (36)
python10
machine-learning10
starcraft9
tensorflow9
neural-network9
deep-learning9
reinforcement-learning8
deep-neural-networks8
ml8
pytorch8
data-science8
minecraft7
weighted7
agent5
artificial-intelligence5
Programming languages (4)
Github contributions (5)
DRL-CASIA/RMAI2020-Decision
Aug 2020 - Aug 2020
Contributions:15 commits, 14 pushes, 1 branch in 7 days
DRL-CASIA/GameAI-FightingAI
Sep 2020 - Sep 2020
Contributions:13 commits, 11 pushes, 1 branch in 1 day
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