Haocheng Wang is a scientific assistant at ETH Zürich specializing in large language models for mathematical reasoning, with two years of hands-on research experience. He has driven projects on formal math proving and autoformalization at ByteDance Seed and DeepSeek AI, bridging academic rigor with applied LLM engineering. His background includes math instruction and product-facing roles, giving him a rare combination of pedagogical clarity and product sensibility. Based in Shanghai and educated at Xiamen University, he moves comfortably between research code and practical system integration. Notably, he has contributed to seed-stage LLM efforts focused on formalization—work that often requires crafting datasets and model pipelines tailored to symbolic, proof-oriented tasks.
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Haocheng Wang - Scientific Assistant at ETH Zürich