danielzeng.com - Daniel Zeng

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I recently graduated with a Master's in Computer Science at Stanford. I completed my undergrad at UC Berkeley, also in Computer Science. I am actively involved in AI research, and backed by my extensive software engineering experiences. Publications • Daniel Zeng, Tailin Wu, Jure Leskovec. ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy. ICML 2022 Beyond Bayes (Reasoning) Workshop. arXiv. Experiences at Stanford University • SNAP Group | Graduate Researcher (September 2021 - May 2023

I am currently a Machine Learning Research Engineer at Genesis Therapeutics, working on generative modeling for drug discovery. I recently graduated with a Master's in Computer Science at Stanford, after finishing my Bachelor's in Computer Science at UC Berkeley. I am actively involved in AI research, and backed by my extensive software engineering experiences. Publications • Daniel Zeng, Tailin Wu, Jure Leskovec. ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy. ICML 2022 Beyond Baye

I am a Machine Learning Research Engineer at Genesis Therapeutics , focusing on generative modeling for drug discovery. My role integrates active involvement in ML research with a strong foundation in software engineering. I hold a Master’s degree in Computer Science from Stanford and a Bachelor’s degree in Computer Science from UC Berkeley. Publications • Daniel Zeng, Tailin Wu, Jure Leskovec. ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy. ICML 2022 Beyond Bayes (Reasoning) Worksh

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