Summary
Su Wang is a Senior Research Engineer with a decade of experience building multilingual and multimodal AI systems across industry and academia. After a PhD in Computational Linguistics and an MS in Statistics from UT Austin, Su contributed to NLP, NLG, and vision-language modeling at Google and DeepMind before joining Balyasny Asset Management to apply applied AI in finance. Her work spans Bayesian and distributional semantics, text-image modeling, and vision-language navigation, blending rigorous probabilistic foundations with large-scale engineering. Known for moving research into production, she combines deep academic training (4.0 GPAs across degrees) with practical experience shipping models at Google and DeepMind. A subtle strength is her cross-disciplinary fluency—statistics, linguistics, and software engineering—that lets her translate complex modeling advances into robust, real-world systems.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Linguistics, GPA = 4.0, Doctor of Philosophy (Ph.D.), Computational Linguistics, GPA = 4.0 at The University of Texas at Austin
Master of Arts (M.A.), General Linguistics (CS minor), GPA = 4.0, Master of Arts (M.A.), General Linguistics (CS minor), GPA = 4.0 at University at Buffalo