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一、教师简介（含主要经历）
分别在台灣大學，麻省理工计算与系统生物学，哈佛大学系统生物学，学习和工作。曾任麻省理工博士后、副研究员，哈佛大学副研究员、匹兹堡大学教授、北京大学客座教授、浙江大学讲座教授
现任中山大学智能工程学院教授，博导；智能医疗中心主任
电子邮箱：chenyuchian@mail.sysu.edu.cn
2017年入选中山大学“****”紧缺人才计划。被引次数超过6900次，H-index 37，其中14篇入选为高引用论文，单篇最高引用超过545次。多篇论文发表在Trends In Pharmacological Sciences等国际顶尖杂志。

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二、学科方向
1.研究方向
智能诊疗系统开发、图像视频处理、计算机视觉、手术机器人、自然语言处理、区块链技术
2.讲授课程
智能医疗技术、深度学习、自然语言处理

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三、科研项目
1. 中大培育基金，化学界的AlphaGo-利用DNN、GCN、GAN人工智能方法产生最佳合成步骤,20万元，2019/11-2021/11
2. 广州市科技计划（民生科技攻关计划），2，建立基于医疗大数据病历与网络讯息的智能型医疗诊疗系统,100万元，2018/04-2020/03
3. 深圳市科技计划基础研究（自由探索），JCYJ20**5521，建构结合医疗大数据诊断辅助系统与中医药网路自理方剂系统,50万元，2018/04-2020/03

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四、论着专利
1.出版书籍
Calvin Yu-Chian Chen，“Traditional Chinese Medicine - Scientific Basis for its Use”， Royal Society of Chemistry (RSC)
2.授权发明专利
发明专利，“单一化合物之3D打印系统及其方法”，发明人：陈语谦，专利号：I539315，申请日：2015年2月2日，授权公告号：I539315，授权公告日：2016年6月21日
3.部分代表性学术论文
[1] Xuedong He#, Lu Zhao#, Weihe Zhong#, Hsin-Yi Chen#, Xiaoting Shan, Ning Tang, Calvin Yu-Chian Chen*, Insight into Potent Leads for Alzheimer's Disease by Using Several Artificial Intelligence Algorithms, Biochemical Pharmacology, 2020, 129, 110360. (IF:3.743)
[2] Zhi-Dong Chen#, Lu Zhao#, Hsin-Yi Chena#, Jia-Ning Gong#, Xu Chen#, Calvin Yu-Chian Chen*, A novel Artificial Intelligence Protocol to Investigate Potential Leads for Parkinson's Disease, RSC Advances, 2020, 10, 22939. (IF:3.049)
[3] Xu Chen#, Hsin-Yi Chen#, Zhi-Dong Chen#, Jia-Ning Gong#, Calvin Yu-Chian Chen*, A Novel Artificial Intelligence Protocol for finding potential Inhibitors of Acute Myeloid Leukemia, Journal of Materials Chemistry B, 2020, 8, 2063-2081. (IF:5.047, 中科院一区)
[4] Qiu-Jie Lv, Hsin-Yi Chen, Wei-Bin Zhong, Ying-Ying Wang, Jing-Yan Song, Sai-Di Guo, Lian-Xin Qi, Calvin Yu-Chian Chen*, A Multi-Task Group Bi-LSTM Networks Application on Electrocardiogram Classification, IEEE Journal of Translational Engineering in Health and Medicine, 2019, (IF: 2.075)
[5] Jun-Yan Li, Hsin-Yi Chen, Wen-jie Dai, Qiu-Jie Lv, Calvin Yu-Chian Chen*, Artificial Intelligence Approach to Investigate the Longevity Drug, The Journal of Physical Chemistry Letters, 2019, 10, 17, 4947-4961. (IF: 8.709, 9/202, Physical and Theoretical Chemistry, 中科院一区)
[6] Jian-Qiang Chen, Hsin-Yi Chen, Wen-jie Dai, Qiu-Jie Lv, Calvin Yu-Chian Chen*, Artificial Intelligence Approach to Find Lead Compounds for Treating Tumors, The Journal of Physical Chemistry Letters, 2019, 10, 15, 4382-4400. (IF: 8.709, 9/202, Physical and Theoretical Chemistry, 中科院一区)
[7] Hsin-Yi Chen, Jian-Qiang Chen, Jun-Yan Li, Hung-Jin Huang, Xi Chen, Hao-Ying Zhang, Calvin Yu-Chian Chen*, Deep Learning and Random Forest Approach for Finding Optimal Traditional Chinese Medicine Formula for Treatment of Alzheimer’s Disease, Journal of Chemical Information and Modeling, 2019, 59, 4, 1605-1623. (IF: 3.804, 8/202, Library and Information Sciences,中科院一区)
[8] Wenjie Dai, Hsin-Yi Chen, Calvin Yu-Chian Chen*, A Network Pharmacology-Based Approach to Investigate the Novel TCM Formula against Huntington’s Disease and Validated by Support Vector Machine Model, Evidence-Based Complementary and Alternative Medicine, Volume 2018, Volume 2018, Article ID **, 29 pages. (IF: 2.064, 8/22 INTEGRATIVE & COMPLEMENTARY MEDICINE)
[9] Calvin Yu-Chian Chen*, Beware of docking!, TRENDS IN PHARMACOLOGICAL SCIENCES, 2015, 36, 2, 78–95 (SCI, 排名: 2/111 位，中科院一区, 影响因子: 12.791)
[10] Calvin Yu-Chian Chen*, Weng Ieong Tou, How to design a drug for the disordered proteins?, Drug Discovery Today, 2013, 18, 19-29, 910-915. (SCI, 排名: 12/302 位，中科院一区, 影响因子: 6.848)
[11] Weng Ieong Tou, Calvin Yu-Chian Chen*, May disordered protein cause serious drug side effect? Drug Discovery Today, 2014, 19(4):367-72. (SCI, 排名: 12/302 位，中科院一区, 影响因子: 6.848)
[12] Shun-Chieh Yang, Su-Sen Chang, Hsin-Yi Chen, Calvin Yu-Chian Chen*, Identification of Potent EGFR Inhibitors from TCM Database@Taiwan, PLoS Computational Biology, 2011, 7(10): e**. (SCI, 排名: 7/238 位，中科院一区, 影响因子: 5.541)
[13] Su-Sen Chang, Hung-Jin Huang, Calvin Yu-Chian Chen*, Two Birds with One Stone? Possible Dual-Targeting H1N1 Inhibitors from Traditional Chinese Medicine, PLoS Computational Biology, 2011, 7(12): e**. (SCI, 排名: 7/238，中科院一区, 影响因子: 5.541)

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五、荣誉获奖情况
2004 Best Teaching Award
2007 Young Scholar Award, Biochemical Engineering
2008 Outstanding research Award
2009 Outstanding research Award
2009 MIT 100 international young innovator awards
2010 She Yan-Ping Best Paper Award
2011 Outstanding research Award
2012 Best paper from MIT Koch Institute
2013 Outstanding research Award
2013 MIT Young Scientist Award (2010/11/8)
2014 Best Paper Award from National Center for High-Performance Computing
2014 Outstanding research Award
2015 Best Teaching Award
2016 Best Teaching Award

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六、联系方式
电子邮箱：chenyuchian@mail.sysu.edu.cn