Bin Dong(董彬) Long CV, Short CV

Professor

Beijing International Center for Mathematical Research (BICMR),

Center for Machine Learning Research (CMLR)

Peking University

Office: BICMR，77101; Phone: +8610-62744091
Email: dongbin {at} math {dot} pku {dot} edu {dot} cn

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About -- Biography -- Events -- Publications -- Teaching

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Postdoc position:

- Looking for postdocs for two exciting ongoing projects: AI for computational imaging and AI for mathematics (see “About” for a high-level description of the two projects)

- Ideal candidates for AI for computational imaging should have a strong background in either biomedical image analysis, machine learning or natural language processing.

- Ideal candidates for AI for mathematics should have a strong background in machine learning and has some experience in automated theorem proving in formal systems such as Lean.

- For both projects, candidates with strong programming skills are preferable.

- If interested, please email me (dongbin@math.pku.edu.cn) your CV and a brief description on your qualifications.

Long-term events:

- One world Seminar Series on the Mathematics of Machine Learning. The focus of the series lies on theoretical advances in machine learning and deep learning as a complement to the one world seminars on probability, on Information, Signals and Data (MINDS), on methods for arbitrary data sources (MADS), and on imaging and inverse problems (IMAGINE).

Recent events:

- AI for Mathematics Workshop @ ICML2024, July 26/27th, 2024, Vienna, Austria.

- Mathematical and Scientific Machine Learning (MSML24), June 17–21, 2024, SISSA, Trieste, Italy.

- SIAM Conference on Imaging Science (IS24), May 28-31, 2024, Atlanta, Georgia, USA.

- Workshop on Formal Proofs and Lean, April 15–26, 2024, IMS-NUS, Singapore.

Past events:

- 中国工业与应用数学第二十一届年会，10月12-15日，云南昆明。

- 第十三届中国数学会计算数学年会，2023年7月15-19日，南京。

- 第十二届全国反问题、成像及其应用年会，2023年5月26-29日，南方科技大学。

- Mathematical and Scientific Machine Learning (MSML22), August 13-21 (within this period), 2022, Beijing, China.

- Mathematical and Scientific Machine Learning (MSML21), August 16-19, 2021, EPFL Campus, Lausanne, Switzerland.

- Mathematical and Scientific Machine Learning (MSML20), July 20-24, 2020, Princeton, USA.

- “基于机器学习的PDE数值计算与应用”线上主题研讨会，2020年7月13-15日，国家天元数学东北中心。

- “基于机器学习的PDE数值计算与应用”线上暑期短课程，2020年7月6-10日，国家天元数学东北中心。

- 1^st International Workshop on Multiscale Multimodal Medical Imaging (MMMI2019), In conjunction with MICCAI 2019, October 13, 2019, Shenzhen, China.

- International Workshop on Recent Advances on Mathematical Imaging and Data Science, July 2-6, 2019, Shanghai Jiaotong University, Shanghai, China.

- 第二届全国大数据与人工智能科学大会（CSIAM-BDAI 2019），深度学习在 PDEs 中的应用主题研讨会，2019年7月5-7日，云南昆明。

- 中国工业与应用数学第十六届年会（CSIAM2018），"图像科学中的数学理论、模型与算法：医疗影像分析和重建"专题研讨会，2018年9月13-16日，四川成都。

- 第十届反问题年会，图像科学中的反问题，国家天元数学东北中心，长春，2018年5月28-31日。

- 中国工业与应用数学第十五届年会（CSIAM2017）, 图像科学中的数学理论、模型与算法专题研讨会, 2017年10月12-15日, 山东青岛.

- PKU Summer School on Data Science, July 10-23, 2017 (schedule is now available).Course abstracts.

- PKU Workshop on Computation and Big Data Analysis, June 20-21, 2017.

- PKU Short Course (unofficial): Deep Learning, Sep.-Dec. 2016.

- PKU Workshop On Mathematics in Imaging Science and Data Analysis (MISDA), August 4-5, 2016.(Group photo is now available.)

- PKU Mini-Course: Information Geometry, June 27-30, 2016.

- PKU Workshop on Data Sciences and Applications (@BICMR), June 10, 2016.

- Computational Biomedical Imaging Workshop, Shanghai Jiaotong university, October 17-18, 2015.