沙伊莱什·拉尔 - 北京雁栖湖应用数学研究院

办公室: A3-3a-305

邮箱: shaileshlal@bimsa.cn

研究方向: 机器学习、神经网络、理论物理、应用物理

个人简介

Shailesh Lal于Harish Chandra研究所获得博士学位。他的研究兴趣是机器学习在弦理论和数学物理中的应用，弦理论中的黑洞和higher-spin holography。

2006 - 2013 Harish-Chandra Research Institute & Homi Bhabha National Institute Physics 博士 (Supervisor: Rajesh Gopakumar)
2004 - 2006 University of Delhi Physics 硕士
2001 - 2004 University of Delhi Physics 学士

2022 - Beijing Institute of Mathematical Sciences and Applications Assistant Research Fellow
2022 - 2022 International Centre for Theoretical Sciences, Tata Institute of Fundamental Research Visiting Post-doctoral Fellow
2021 - 2021 Kenkou GmbH Data Scientist (Research)
2017 - 2020 Faculdade de Ciencias, Universidade do Porto Post-Doctoral Fellow
2015 - 2017 LPTHE, CNRS & Universite Sorbonne Postdoctorant
2013 - 2015 Seoul National University Post-Doctoral Fellow
2012 - 2013 International Centre for Theoretical Sciences, Tata Institute of Fundamental Research Post-Doctoral Fellow

[1] Shailesh Lal, Suvajit Majumder, and Evgeny Sobko, The R-mAtrIx Net, Machine Learning: Science and Technology, 5(2024), 3, 035003
[2] Yang-Hui He, Shailesh Lal, M. Zaid Zaz, The world in a grain of sand: Condensing the string vacuum degeneracy, Physical Letters B, 849(2024), 138461
[3] Heng-Yu Chen, Yang-Hui He, Shailesh Lal, M. Zaid Zaz, Machine Learning Etudes in Conformal Field Theories, International Journal of Data Science in the Mathematical Sciences, 1(2023), 01, 71-104
[4] Shailesh Lal, Machine Learning Symmetry, Nankai Symposium on Mathematical Dialogues(2022)
[5] Heng-Yu Chen, Yang-Hui He, Shailesh Lal, and Suvajit Majumder, Machine learning Lie structures & applications to physics, Physics Letters B, 817(2021), 136297
[6] Nick Halmagyi, and Shailesh Lal, Mixed Moments for the Product of Ginibre Matrices, arXiv:2007.10181(2020)

更新时间: 2025-05-20 15:34:25