Yingchen Ma is an Applied Scientist II at Microsoft with a decade of experience bridging research and production in NLP, LLMs, machine learning, and computational social science. With a PhD and MS from Georgia Tech and publications at ACM Web Science, Yingchen led robustness evaluations of multimodal LLMs and built predictive models for social media misinformation with strong empirical performance. Prior internships at Microsoft, Honeywell, and Pioneer translated research into product-facing systems—such as LLM-driven image quality evaluation for Microsoft Designer and automation tooling using FastAPI, Docker, and Kubernetes. Comfortable across the stack, Yingchen combines statistical rigor with pragmatic engineering to ship scalable ML solutions, and was recognized with Georgia Tech’s Marshal D. Williamson Fellowship. An understated strength is pairing causal/statistical analysis with applied ML to surface actionable features for operational systems.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Michigan
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Georgia Institute of Technology
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