Tianxiang Chen is a Senior Research Scientist specializing in audio and deep learning with 11 years of experience, currently advancing speaker recognition and real-time fraud detection at Pindrop in Atlanta. He designs production-scale ML pipelines that clean and model structured and unstructured data, and has led research teams to translate state-of-the-art algorithms into customer-facing proofs of concept. His background includes deep-learning work at Oak Ridge National Laboratory on genomic and NLP benchmarks that scaled on 512-node clusters, highlighting strengths in high-performance computing and feature engineering. Trained as an electrical and computer engineer with a strong academic record, he pairs rigorous experimental evaluation with clear communication to external customers and stakeholders. An uncommon asset is his ability to bridge large-scale research computing and production fraud-detection systems, ensuring models not only perform but deploy reliably in live call-center environments.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Changchun Institute of Technology
Master's degree, Computer Engineering, 3.76/4.0, Master's degree, Computer Engineering, 3.76/4.0 at University of Tennessee, Knoxville
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Tianxiang Chen - Senior Research Scientist - Audio at Pindrop