教育背景

2018.09-2024.05，美国罗格斯大学管理科学与信息系统（信息技术）专业，哲学博士学位

2016.09-2018.02，美国罗格斯大学经济学专业，经济学硕士学位

2012.09-2016.06，重庆大学统计学专业，理学学士学位

工作经历

2024.08 至今，太阳成集团tyc122cc，讲师

研究方向

数据安全与隐私、生成模型、联邦学习、基因数据安全保护

荣誉奖励

1. Best Reviewer Award, AMIA Informatics Summit, AMIA, 2024

2. Financial Crime Track 1st place (Team Scarlet-Pets), US-UK Privacy Enhancing Technologies Challenge, 美国政府, 2023

科研项目

1. 太阳成集团122cc官网入口，新教师启动金项目，主持，2025.5 - 2028.4

科研发表

1. Wang, X., Asif, H., and Vaidya, J. (2025), “Data Synthesis Reinvented: Preserving Missing Patterns for Enhanced Analysis”, IEEE Transactions on Knowledge and Data Engineering,

2. Min, S., Asif, H., Wang, X., and Vaidya, J. (2025), “Cafe: Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity”, IEEE Transactions on Knowledge and Data Engineering, vol. 37,pp. 2266-2281, 2025

3. Wang, X., Min, S., and Vaidya, J. (2025), “Descriptor: Synthetic Genomic Dataset with Diverse Ancestry (SynGen6)”, IEEE Data Descriptions, vol. 2, pp. 1-7, 2025.

4. Wang, X., Min, S., and Vaidya, J. (2024), “Exploring the use of Artificial Genomes for Genome-wide Association Studies through the lens of Utility and Privacy”, In AMIA Annual Symposium Proceedings, Vol. 2024

5. Asif, H., Min, S., Wang, X., and Vaidya, J. (2024) “U.S.-U.K. PETs Prize Challenge: Anomaly Detection via Privacy-Enhanced Federated Learning”, IEEE Transactions on Privacy, vol. 1, pp. 3-18, 2024.

6. Wang, X., Dervishi, L., Li, W., Ayday, E., Jiang, X., and Vaidya, J.(2023), “Privacy-Preserving Federated Genome-wide Association Studies via Dynamic Sampling”, Bioinformatics, 39(10), btad639.

7. Wang, X., Asif, H., and Vaidya, J. (2023), “Preserving Missing Data Distribution in Synthetic Data”, In Proceedings of the ACM Web Conference 2023 (WWW ’23). pp. 2110-2121.

8. Wang, X., Dervishi, L., Li, W., Jiang, X., Ayday, E., and Vaidya, J.(2023) “Efficient Federated Kinship Relationship Identification”. AMIA Joint Summits on Translational Science proceedings, 2023, 534.

9. Dervishi, L., Wang, X., Li, W., Halimi, A., Vaidya, J., Jiang, X., Ayday, E. (2022), “Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy”, In AMIA Annual Symposium Proceedings, Vol. 2022, p. 395.

10. Wang X, Jiang X, Vaidya J. (2021), “Efficient verification for outsourced genomewide association studies”, Journal of biomedical informatics, 117, p.103714. 

教学课程

1. 研究生课程：大数据分布式计算