# About Me ![[my_pic3.jpg|150]] **Tang Yuting**[^1] is a Ph.D. student at [MIT EECS](https://www.eecs.mit.edu/) (starting from 2026 Fall), advised by [Professor. Jas Brooks](https://jasbrooks.net/) in the [Perceptual Engineering Lab](https://lab.jasbrooks.com/). Prior to their doctoral study, their research focused on EEG-based neural interfaces, including: 1) decoding sensorimotor and cognitive states from EEG using deep learning, 2) translating algorithms into clinical assessment tools and post-stroke neurorehabilitation systems, and 3) optimizing the pre-training efficiency of foundation models. <details> <summary>Earlier Background</summary> <div class="details-content"> They grew up in China and took undergraduate study in Computer Science at Nanyang Technological University (supported by the Singapore Ministry of Education Scholarship). Before determining to pursue a Ph.D. path, they spent quite much time exploring various career paths, like doing NLP/CV research, working as a machine learning engineer and data scientist in startups and financial institutions, spending another two years as a research assistant... Finally, they decided to go for PhD, mostly driven by curiosity and thrill of exploration! </div> </details> # 📰 News - **Sep 2026 -** Starting PhD journey. - **April 2026 -** Wrapped up research work from NTU. **A 1st-authored journal manuscript** that proposed a novel EEG-based biomarker for lower-limb functional assessment and **a PCT patent** on rehabilitation systems are **under review**. - **December 2025 - Published [EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training | Proceedings of the AAAI Conference on Artificial Intelligence](https://ojs.aaai.org/index.php/AAAI/article/view/38830#:~:text=In%20this%20work%2C%20we%20introduce%20EEG-DLite%2C%20a%20data,noisy%20and%20redundant%20samples%20from%20large%20EEG%20datasets.)** ![[main_framework.png]] ![[line_split.png]] # Information \& Links + 📄[[Curriculum Vitae (CV)]] + ✉️yuting21 [at] mit [dot] edu + 💻[Github](https://github.com/t170815518) + 📚[Google Scholar](https://scholar.google.com/citations?user=yvCh1VwAAAAJ&hl=en) + 🔗[LinkedIn](https://www.linkedin.com/in/yuting-tang-3a270218a/) 🌏 They travel around the world with friends, <img src="https://flagcdn.com/w20/cn.png" alt="China"> <img src="https://flagcdn.com/w20/sg.png" alt="Singapore"> <img src="https://flagcdn.com/w20/us.png" alt="USA"> <img src="https://flagcdn.com/w20/th.png" alt="Thailand"> <img src="https://flagcdn.com/w20/my.png" alt="Malaysia"><img src="https://flagcdn.com/w20/id.png" alt="Indonesia"> <img src="https://flagcdn.com/w20/eg.png" alt="Egypt"> <img src="https://flagcdn.com/w20/it.png" alt="Italy"> <img src="https://flagcdn.com/w20/kz.png" alt="Kazakhstan"> <img src="https://flagcdn.com/w20/kg.png" alt="Kyrgyzstan"> ... [^1]: Tang is the surname, and the prounouciation is **/tɑːŋ/ /juː/ /tɪŋ/**.