Author

Mengdi Wang

Princeton University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Ai FangiD· 1 shared Albina Tskhay· 1 shared Alex Zhavoronkov· 1 shared Alexander TyshkovskiyiD· 1 shared Alexandre TrappiD· 1 shared Alibek MoldakozhayeviD· 1 shared Amanda E. Garza· 1 shared Aviv RegeviD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Ai FangORCID

Author profile →

3 papers

Recent·Most cited

Automated Discovery of Therapeutic Biomaterial for Renally Impaired Hyperuricemia Patients by Natural Language Processing and Machine Learning

Xiaodong Zeng, Jiahao Qiu, Xin Gui Zhao, Kangfei Liu, Longfei Zhao, Junkang An, Xiang Liang, Tianzhi Liu, Zhichao Wang, Weidi Xie, Mengdi Wang, Jie Luo, Shiyi Zhang

The paper develops MatWISE, a framework using NLP and ML to discover a biomaterial for renally impaired hyperuricemia, identifying δ-MnO2 as a promising UA-lowering agent.

bioRxiv · Mar 5, 2025 · PreprintBiochemistry

Autonomous AI Agents Discover Aging Interventions from Millions of Molecular Profiles

Kejun Ying, Alexander Tyshkovskiy, Alibek Moldakozhayev, Hanchen Wang, Cecília G. De Magalhães, Sharif Iqbal, Amanda E. Garza, Albina Tskhay, Jesse R. Poganik, Kexin Huang, Yuanhao Qu, Dmitrii Glubokov, Cheng Jin, Donghyun Lee, Hanna Liu, , Vadim N. Gladyshev

The paper reanalyzes millions of molecular profiles to identify aging interventions using AI agents, finding over 500 interventions that reduce biological age and revealing patterns in aging modulation.

bioRxiv · Feb 28, 2023 · PreprintBioinformatics

Vascularized human cortical organoids model cortical development in vivo

Yingchao Shi, Le Sun, Jianwei Liu, Suijuan Zhong, Mengdi Wang, Rui Li, Peng Li, Lijie Guo, Ai Fang, Ruiguo Chen, Woo‐Ping Ge, Qian Wu, Xiaoqun Wang

This paper develops vascularized human cortical organoids that model cortical development and show synaptic activity and integration potential in vivo.

PLoS Biology · May 13, 2020Peer-reviewedNeuroscience