2018    卡内基梅隆大学，计算机科学，博士

2011    上海交通大学，计算机工程，学士

2011    上海交通大学，电气与计算机工程，学士

2022-2024     上海交通大学溥渊未来技术学院    院长助理

2022-至今     上海交通大学溥渊未来技术学院    副教授

2021-2021    上海交通大学密西根学院    副教授

2020-2021    上海交通大学密西根学院    助理教授

2018-2020    美国匹兹堡大学医学院    博士后

• 单细胞分析的机器学习和统计方法

• 癌症多组学、免疫学和精准医学

• 生物信息学中的组合优化算法

• 科学中稳定和可解释的人工智能

• Zhou, Jieli, and Hongyi Xin*. “Emerging artificial intelligence methods for fighting lung cancer: A survey.” in Clinical eHealth, 5, 19-34, December 2022.

•  Jieli Zhou, Baoyu Jing, Zeya Wang*, Hongyi Xin*, Hanghang Tong. “SODA: Detecting COVID-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation”, in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10.1109/TCBB.2021.3066331, March 2021.

• Hongyi Xin, Qiuyu Lian, Yale Jiang, Jiadi Luo, Xinjun Wang, Carla Erb, Xiaoyi Zhang, Elisa Heidrich-O’Hare, Qi Yan, Richard Duerr, Kong Chen, Wei Chen. “Sample demultiplexing, multiplet detection, experiment planning and novel cell type verification in single cell sequencing”, in Genome Biology, 21, 188, July 2020.

•  Qiuyu Lian, Hongyi Xin(co-first), Jianzhu Ma, Lina Konnikova, Wei Chen, Jin Gu, Kong Chen. “Artificial-Cell-Type Aware Cell Type Classification in CITE-seq”, in Oxford Bioinformatics, Volume 33 Issue Supplement_1, November 2020

• Hongyi Xin, Mingfu Shao, Carl Kingsford. “Context-Aware Seeds for Read Mapping”, in Algorithms in Molecular Biology, 15, 10, May 2020.

•  Xinjun Wang, Zhe Sun, Yanfu Zhang, Zhongli Xu, Hongyi Xin, Heng Huang, Richard H Duerr, Kong Chen, Ying Ding, Wei Chen. “BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data”, in Nucleic Acids Research, gkaa314, May 2020.

•  Qi Yan, Daniel Weeks, Hongyi Xin, Anand Swaroop, Emily Chew, Heng Huang, Ying Ding, Wei Chen. “Deep-LearningBased Prediction of Late Age-Related Macular Degeneration Progression”, in Nature Machine Intelligence, 2, 141-150, February 2020.

• KR Jayaram, Anshul Gandhi, Hongyi Xin, Shu Tao. “Adaptively Accelerating Map-Reduce/Spark with GPUs: A Case Study”, in Proceedings of the 16th The International Conference on Autonomic Computing (ICAC 2019), Umea, Sweden, June 2019.

•  Zhe Sun, Li Chen, Hongyi Xin, Qianhui Huang, Anthony Cillo, Tracy Tabib, Ying Ding, Jay Kolls, Tullia Bruno, Robert Lafyatis, Dario Vignali, Kong Chen, Ming Hu, and Wei Chen. “BAMM-SC: A Bayesian Mixture Model for Clustering Droplet-Based Single Cell Transcriptomic Data from Population Studies”, in Nature Communications, 10(1), Page 1649, 2019.

《算法与数据结构导论》

《生物信息学》