CV
General Information
| Full Name | Tianyu Chen |
| Languages | English, Chinese |
Industry Experience
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2026-now Student Researcher
Google DeepMind - Research in LLM post-training and alignment.
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02/2025 – 03/2026 Research Scientist Intern
Microsoft Research | Gen AI Post-train - Mentors: Zhendong Wang, Lijuan Wang
- Developed an object-centric vision-language model (VLM) agent that automates fine-grained, multi-turn image-editing evaluation, eliminating reliance on human annotators for benchmark construction. The project received media coverage in well-known Chinese outlets and is showcased on the project website.
- Led large language model (LLM) post-training research on mathematical reasoning and LLM-as-a-judge alignment, including recipe design for autoregressive and diffusion-based language models.
Education
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2023-now PhD in Statistics & Data Sciences
University of Texas at Austin, Austin, United States - GPAs 4.0/4.0
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2021-2023 Master in Statistics
University of Chicago, Chicago, United States - GPAs 3.97/4.0
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2017-2021 Bachelor in Statistics
Fudan University, Shanghai, China - GPAs 3.7/4.0
Academic Interests
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LLM post-training (RL and on-policy distillation)
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Image editing and automated evaluation
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Model distillation and generative models (Diffusions, VAEs)
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Causal inference, graphical models and causal representation learning
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Statistical sampling and neural posterior estimation
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Bioinformatics, single cell data and multi-omic data integration
Other Interests
- Hobbies: Sleeping, Tennis, Climbing etc.