Haochen Wang | Liu Lab

MultiFlow: coupled flow matching for predicting single-cell multiomic perturbation responses in unseen cellular contexts

Thu, 20 Aug 2026 00:00:00 +0000

RegFM: an interpretable context-aware foundation model for human transcriptional regulation

Mon, 17 Aug 2026 00:00:00 +0000

scMTG reconstructs single-cell temporal dynamics with Markov transition generators

Thu, 04 Jun 2026 00:00:00 +0000

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Leveraging genomic foundation models to identify genotype-brain-clinical pathways in Alzheimer's disease

Thu, 01 Jan 2026 00:00:00 +0000

Haochen Wang

Mon, 01 Jan 0001 00:00:00 +0000

Haochen earned his Bachelor of Electronic Engineering degree at Xidian University, where he focused on signal processing and computational techniques. He then pursued his Ph.D. in Control Science and Engineering at Tsinghua University under the guidance of Dr. Xiaowo Wang. His doctoral research concentrated on developing deep generative models for designing genetic elements, with a focus on synthetic biology applications. He also has previous research experience in DNA sequence generation with artificial intelligence during his time at the Shenzhen Institute of Advanced Technology, and computational analysis of single-cell perturbation data at Cartabio Technology. Haochen joined Yale University as a Postdoctoral Associate, and he is currently working on generative models on computational biology.