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职业迁徙
个人简介
My research interests lie at the intersection of statistics, computation and modeling with a focus on biological applications.
A significant part of my research is driven by building more statistically accurate and faster machine learning software for analyzing single-cell omics data. I developed single-cell Variational Inference (scVI), a flexible model and a scalable inference method for comprehensive analysis of single-cell transcriptomes. I co-developed scvi-tools, an open-source software suite for fully-probabilistic modeling of single-cell multi-omics data.
More generally, I am interested in the broader area of ML + Science. Deep generative models provide an appealing and flexible paradigm for learning distributions, but quite some work is needed to fully exploit them as part of a scientific hypothesis testing pipeline (e.g., causality, interpretability, disentanglement, decision-making).
A significant part of my research is driven by building more statistically accurate and faster machine learning software for analyzing single-cell omics data. I developed single-cell Variational Inference (scVI), a flexible model and a scalable inference method for comprehensive analysis of single-cell transcriptomes. I co-developed scvi-tools, an open-source software suite for fully-probabilistic modeling of single-cell multi-omics data.
More generally, I am interested in the broader area of ML + Science. Deep generative models provide an appealing and flexible paradigm for learning distributions, but quite some work is needed to fully exploit them as part of a scientific hypothesis testing pipeline (e.g., causality, interpretability, disentanglement, decision-making).
研究兴趣
论文共 36 篇作者统计合作学者相似作者
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Zitong Jerry Wang,Romain Lopez,Jan-Christian Hütter,Takamasa Kudo,Heming Yao, Philipp Hanslovsky, Burkhard Höckendorf, Rahul Moran,David Richmond,Aviv Regev
biorxiv(2024)
Annual International Conference on Research in Computational Molecular Biologypp.17-37, (2024)
CoRR (2024)
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CAUSAL LEARNING AND REASONING, VOL 236 (2024): 868-912
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CLeaR (2023): 662-691
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#Papers: 36
#Citation: 2887
H-Index: 17
G-Index: 36
Sociability: 5
Diversity: 0
Activity: 1
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