Education
- M.S. in Computer Science, Washington University in St. Louis, 2024
- B.Econ. in Financial Engineering, Shanghai Lixin University of Accounting and Finance, 2021
Journal
- Ying Xu, Marisa N Denkinger, Menghan Liu, Katherine Gong, Yike Chen, Daniel Western, Jigyasha Timsina, Yuchen Cheng, Yunchang Xie, Rui Mu, John Budde, Thomas G Beach, Geidy E Serrano, Eric M Reiman, Alpana Singh, Isabel Alfradique‐Dunham, Tammie LS Benzinger, Suzanne E Schindler, John C Morris, David M Holtzman, Joel S Perlumtter, B Joy Snider, Meghan C Campbell, Paul T Kotzbauer, Nicholas J Ashton, Carlos Cruchaga. “GPND-AI NULISA: A 15-Protein AI classifier for diagnosis and co-pathology profiling across neurodegenerative diseases,” Alzheimer’s & dementia : the journal of the Alzheimer’s Association, 22(5), e71420, 2026. Link
- Gyujin Heo*, Ying Xu*, Erming Wang, Muhammad Ali, Hamilton Se-Hwee Oh, Patricia Moran-Losada, Federica Anastasi, Armand González Escalante, Raquel Puerta, Soomin Song, Jigyasha Timsina, Menghan Liu, Daniel Western, Katherine Gong, Yike Chen, Pat Kohlfeld, Allison Flynn, Alvin G Thomas, Joseph Lowery, John C Morris, David M Holtzman, Joel S Perlmutter, Suzanne E Schindler, Natalia Vilor-Tejedor, Marc Suárez-Calvet, Pablo García-González, Marta Marquié, Maria Victoria Fernández, Mercè Boada, Amanda Cano, Agustín Ruiz, Bin Zhang, David A Bennett, Tammie Benzinger, Tony Wyss-Coray, Laura Ibanez, Yun Ju Sung, Carlos Cruchaga. “Large-scale plasma proteomic profiling unveils diagnostic biomarkers and pathways for Alzheimer’s disease,” Nature aging, 5(6), 1114–1131, 2025. Link
- Muhammad Ali, Jigyasha Timsina, Ying Xu, Yike Chen, Katherine Gong, Daniel Western, Gyujin Heo, Menghan Liu, John Budde, Cyril Pottier, Suzanne E Schindler, John C Morris, David M Holtzman, Raquel Puerta, Amanda Cano, Merce Boada, Maria V Fernandez, Agustin Ruiz, Miquel Aguilar, Ignacio Alvarez, Pau Pastor, Joel S Perlmutter, Meghan C Campbell, Paul T Kotzbauer, Hamilton Se-Hwee Oh, Edward N Wilson, Yann Le Guen, Rawan Tarawneh, Tony Wyss-Coray, Yun Ju Sung, Laura Ibanez, Carlos Cruchaga. “Large-scale CSF and plasma proteomics reveal immune, synaptic, and extracellular matrix disruptions across neurodegenerative diseases,” Neuron, S0896-6273(26)00140-6, 2026. Link
- Lijun An, Alexa Pichet Binette, Ines Hristovska, Gabriele Vilkaite, Yu Xiao, Romina Zendehdel, Zijian Dong, Bart Smets, Rowan Saloner, Shinya Tasaki, Ying Xu, Varsha Krish, Farhad Imam, Shorena Janelidze, Danielle van Westen, Global Neurodegenerative Proteomics Consortium (GNPC), Erik Stomrud, Christopher D Whelan, Sebastian Palmqvist, Rik Ossenkoppele, Niklas Mattsson-Carlgren, Oskar Hansson, Jacob W Vogel. “A deep joint-learning proteomics model for diagnosis of six conditions associated with dementia,” Nature medicine, 10.1038/s41591-026-04303-y, 2026. Link
- Qingyang Wu*, Ying Xu*, Tingsong Xiao, Yunze Xiao, Yitong Li, Tianyang Wang, Yichi Zhang, Shanghai Zhong, Yuwei Zhang, Wei Lu, Yifan Yang. “Surveying Attitudinal Alignment Between Large Language Models VS. Humans Towards 17 Sustainable Development Goals,” WIREs Data Mining and Knowledge Discovery, 2024. Link
- Lufei Huang, Ying Xu, Xiaohui Pan, Tao Zhang. “Green Technology Collaboration Network Analysis of China’s Transportation Sector: A Patent-Based Analysis,” Scientific Programming, vol. 2021, Article ID 9961071, 12 pages, 2021. Link
- Zifeng Kou, Ying Xu, Sibo Yang. “The relationship between environmental pollution and FDI in Chinese provinces: Granger causality analysis perspective based on fixed effects panel data,” Journal of Shanghai Lixin University of Accounting and Finance, 2020, 32(03): 87-100.
Conference Paper
- [Oral Presentation] Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik. “Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning,” ICMLA 2024. Link
- Ying Xu, Yuejia Gu, Jiangpan Wang. “The College Student Credit Evaluation Based on Characteristic Data”, Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health. Springer, Singapore, 2020: 116-130. Link
Workshop Paper
- [Oral Presentation] Ying Xu, Michael Lanier, Anindya Sarkar, Yevgeniy Vorobeychik. “Attacks on Node Attributes in Graph Neural Networks,” AAAI 2024 Workshop on “Artificial Intelligence for Cyber Security.” Link
Conference Talk
- [Oral Presentation] Ying Xu, Daniel Western, Gyujin Heo, Kwangsik Nho, Hamilton Oh, Yike Chen, Menghan Liu, Katherine Gong, Agustin Ruiz, Maria Victoria Fernandez, David Bennett, Tony Wyss-Coray, Muhammad Ali, Carlos Cruchaga, Protein-based diagnosis and analysis of co-pathologies across neurodegenerative diseases: large-scale AI-boosted CSF and plasma proteomic classifier, CTAD, 2025.
- [Oral Presentation] Ying Xu*, Muhammad Ali*, Gyujin Heo, Jigyasha Timsina, Menghan Liu, John Budde, Jen Gentsch, Carlos Cruchaga, CSF and plasma protein classifier for predicting disease-specific and multiple dementia types (AD and PD) by multiple AI-based models, ADPD, 2025.
- [Oral Presentation] Muhammad Ali*, Ying Xu*, Yike Chen, Gyujin Heo, Jigyasha Timsina, Ellen Liu, Yun Ju Sung, Alexa Pichet-Binette, Betty Tijms, Laura Winchester, Carlos Cruchaga, Plasma proteomic profiling of AD, PD and FTD in a large sample of individuals from the global neurodegeneration proteomics consortium (GNPC), ADPD 2025.
- [Oral Presentation] Muhammad Ali, Ying Xu, Gyujin Heo, Jigyasha Timsina, Menghan Liu, John Budde, Jen Gentsch, Carlos Cruchaga, Large-scale CSF and plasma proteomics reveal dysregulation of immune system, synaptic impairment, and nuclear envelope related envelope related pathways in neurodegeneration, ADPD 2025.
Copyrights
- Carlos Cruchaga, Ying Xu. High Accuracy Plasma Proteomic Classifier and Co-pathology Quantification for Neurodegenerative Diseases. No. T-021583
- Carlos Cruchaga, Ying Xu, Daniel Western. High Accuracy Plasma Proteomic Classifier and Co-pathology Quantification for Neurodegenerative Diseases. No. T-021544
- Ying Xu, Jiangpan Wang. “Personal Credit Rating System.” No. 2020SR0126760
- Jiangpan Wang, Ying Xu. “Contribution Allocation Algorithm in the Case of Cooperation with Multi Person and Multi Organizations.” No. 2020SR0103989
Working Experience
Summer 2023: Data Science Intern
- Organization: Reinsurance Group of America (RGA)
- Project: FAC Optimization
- Supervisor: Dr. Jeffery Heaton
2023-2024: Research Assistant
Summer 2022: Research Assistant
2021-2022: Data Development Engineer
- Organization: Shuhe Technology Company
- Project: Feature Template System, Auto AB Testing Platform
Spring 2021: Algorithm Intern
- Organization: ADA Health
- Project: Lesion Recognition, Drug Recommentation System
2019: Lead Research Assistant
- Organization: New Jersey Institute of Technology
- Project: Public Corporations Sharing System
- Supervisor: Professor Zhipeng Yan
Teaching Assistant
Academic Service
- Journal Reviewer: BMC Psychiatry, Computers in Biology and Medicine, Intelligent Medicine, Science Translational Medicine
- Conference Reviewer: IEEE ISBI 2024
