Sebastian Nehrdich studied Classical Indology and Sinology at the University of Hamburg and graduated with a thesis on Xuanzang's Cheng weishi lun (2012–2017). He received his Master’s degree from the same university in 2020 with a thesis on the fourth chapter of Sthiramati’s Madhyāntavibhāgaṭīkā. His main research area is classical Yogācāra literature with a focus on Sanskrit, Tibetan, and Chinese material. Furthermore, he has an active interest in the application of computational linguistics to the field of Buddhist philology. In 2016/2017 he spent one year as an exchange student at the Dharma Drum Institute of Liberal Arts, Taiwan. During 2018–2020, he spent one and a half years as an exchange student at Kyōto University, Japan. Since 2019 he is working together with Dr. Orna Almogi and Prof. Dr. Dorji Wangchuk on the BuddhaNexus project.
- 2020 Sebastian Nehrdich. "A Method for the Calculation of Parallel Passages for Buddhist Chinese Sources Based on Million-scale Nearest Neighbor Search", in Marcus Bingenheimer, Christian Wittern, Jinhua Chen (eds.), Journal of the Japanese Association for Digital Humanities, Volume 5, Issue 2. Special Issue: Buddhism and Technology, 132-153. (link)
- 2018 Oliver Hellwig, Sebastian Nehrdich. “Sanskrit Word Segmentation Using Character-level Recurrent and Convolutional Neural Networks.” Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2754–2763. (link)