2019 纽约大学，博士
2010 西安交通大学，硕士
2007 西安交通大学，学士
2025.8至今 北京脑科学与类脑研究所，研究员
2021.9-2025.8 北京脑科学与类脑研究所，青年学者
2019-2021 纽约大学 神经科学中心，Dr. Roozbeh Kiani 实验室，博士后研究员
2010-2013 中国科学院 微电子研究所，射频/模拟集成电路工程师
仵婷实验室致力于以先进的纳米技术为研发工具，来解决侵入式脑机接口研究中的关键问题。 由于侵入式神经界面具有高时空分辨率等特点，该技术在基础神经科学研究及临床医学中获得了广泛的应用和关注。然而，在活体对象实验中（尤其是伦理监管十分严格的非人类灵长类动物和人类大脑），学界与产业界对于如多巴胺等神经递质的高通量记录技术依然缺乏。其次，尽管现有的侵入式脑机接口系统在运动恢复和辅助通信方面获得了一些成功，但是在生物兼容性和长时稳定性方面依然面临着巨大的挑战。
本实验室将结合材料、器件、芯片、整合系统等多学科交叉的方式，着力聚焦于相关基础科学研究和临床应用，其主要未来研究方向如下：
1. 应用新材料、新结构等，开发新型的可同时记录动作电位和神经递质的多模态神经界面
2. 研究侵入式神经界面的生物兼容性和长时稳定性
3. 开发侵入式脑机接口的信号采集芯片及系统
Selected publications:
Journal：
1. Cuniberto E, You KD, Alharbi A, Huang Z, Wu T, Kiani R, Shahrjerdi D. (2021) Anomalous sensitivity enhancement of nano-graphitic electrochemical micro-sensors with reducing the operating voltage. Biosensors and Bioelectronics. 177: 112966. DOI: 10.1016/j.bios.2021.112966
2. Cuniberto E*, Alharbi A*, Wu T, Huang Z, Sardashti K, You KD, Kisslinger K, Taniguchi T, Watanabe K, Kiani R, Shahrjerdi D. (2020) Nano-engineering the material structure of preferentially oriented nano-graphitic carbon for making high-performance electrochemical micro-sensors. Scientific Reports. 10: 9444. DOI: 10.1038/s41598-020-66408-9
3. Wu T*, Alharbi A*, Kiani R, Shahrjerdi D. (2019) Quantitative principles for precise engineering of sensitivity in graphene electrochemical sensors. Advanced Materials. 31(6): e1805752. DOI: 10.1002/adma.201970037 (Cover article）
4. Wu T, Abdullah A, Takashi T, Watanabe K, Shahrjerdi D. (2018) Low-frequency noise in irradiated graphene FETs. Applied Physics Letters. 113(19): 193502. DOI: 10.1063/1.5051658 (Editor’s pick）
5. Wu T, Alharbi A, You KD, Kisslinger K, Stach EA, Shahrjerdi D. (2017) Experimental study of the detection limit in dual-gate biosensors using ultrathin silicon transistors. ACS Nano. 11(7): 7142-7147. DOI: 10.1021/acsnano.7b02986
6. Nasri B*, Wu T*, Alharbi A, You KD, Gupta M, Sebastian SP, Kiani R, Shahrjerdi D. (2017) Hybrid CMOS-graphene sensor array for subsecond dopamine detection. IEEE Transactions on Biomedical Circuits and Systems. 11(6): 1192-1203. DOI: 10.1109/TBCAS.2017.2778048 (Invited contribution to the special issue on ISSCC）
Conference：
1. Wu T, Alharbi A, Taniguchi T, Watanabe K, Shahrjerdi D. (2018) Effects of single vacancy defects on 1/f noise in graphene/h-BN FETs. IEEE Device Research Conference (DRC). DOI: 10.1109/DRC.2018.8442196
2. Nasri B, Wu T, Alharbi A, Gupta M, RanjitKumar R, Sebastian S, Wang Y, Kiani R, Shahrjerdi D. (2017) Heterogeneous integrated CMOS-graphene sensor array for dopamine detection. IEEE International Solid-State Circuits Conference (ISSCC). DOI: 10.1109/ISSCC.2017.7870364
3. Wu T, Nasri B, Alharbi A, Kiani R, Shahrjerdi D. (2017) A hybrid CMOS-graphene integrated sensing platform for subsecond dopamine detection. 232nd ECS Meeting. (Invited abstract, honoring Dr. Mark Wightman in Behavioral Neuroelectrochemistry)
4. Wu T, Afzali A, You KD, Kisslinger K, Stach E, Shahrjerdi D. (2017) Glucose sensing using dual-gated BioFETs with 5nm-thick silicon body. IEEE Device Research Conference (DRC). DOI: 10.1109/DRC.2017.7999421
5. Wu T, Nasri B, Alharbi A, Bang S, Patel A, Liu B, Kiani R, Shahrjerdi D. (2016) An integrated multi-electrode carbon microfiber sensor platform for subsecond dopamine detection. Material Research Society (MRS) Fall meeting.
6. Wu T, Rappaport TS, Collins CM. (2015) The human body and millimeter-wave wireless communication systems: interactions and implications. IEEE International Conference on Communications (ICC). DOI: 10.1109/ICC.2015.7248688 (IEEE ICC 2015 Best Paper)
