CV

Work

2025.04 - now: Data science and innovation engineer
- INOPASE Inc., Tokyo, Japan
- Designed, conducted, and analyzed animal and human clinical studies for neuromodulation therapies, including experimental protocol development, physiological data collection, stimulation testing, and clinical/preclinical data analysis.
- Developed, implemented, and tested algorithms for closed-loop stimulation control, neural/urodynamic signal processing, event detection, and multi-signal physiological data analysis.
- Supported patent and freedom-to-operate (FTO) activities by organizing technical inventions, reviewing prior art, preparing technical summaries, and contributing to PCT and US filing strategy.

Education

Ph.D in Precision Engineering, The University of Tokyo, 2024
- Thesis: Modulation of neuronal dynamics in cortical regions involved in attention and fluid intelligence by external stimulation
- Advisor: Kiyoshi Kotani, Ph.D.
M.E. in Precision Engineering, The University of Tokyo, 2021
- Thesis: Low-dimensional manifold of coupled neuronal population with heterogeneity and noise
- Advisor: Kiyoshi Kotani, Ph.D.
B.E. in Safety Engineering and Biomedical Engineering, Beihang University, 2019

Experience

2024.10 - 2025.3: Specially Appointed Research Fellow
- The University of Tokyo, Chiba, Japan
- Study machine learning methods to decode motor imaginary signals detected by EEG.
- Investigate cortical excitability change induced by transcranial random noise stimulation and its effect on fluid intelligence.
2024.6 - 2025.3: Neuromodulation Implant Engineer Intern
- INOPASE Inc., Tokyo, Japan
- Development of closed-loop neuromodulation system.
- Animal study for verifying the feasibility of neuromodulation system.
2022.7 - 2022.8: Visiting Student
- Clare Hall, The University of Cambridge, Cambridge, United Kingdom
- Summer Programme, Laboratory visiting, Whitaker Neuroengineering Workshop.
2022.5 - 2022.11: Backend Engineer
- PLUGO Inc., Tokyo, Japan
- Backend development for MY PLUGO application.
2018.7 - 2018.9: Research Assistant
- Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China
- Development of VR system for macaque proprioception experiment.
- Supervisor: Liping Wang

Skills

Research
- Mathematical model for neuronal dynamics
- EEG signal acquisition and analysis
- Transcranial electrical stimulation
- Cognitive experiment on human subjects
- Machine learning for data processing
Programming
- Python
- MATLAB
- Java
- HTML/CSS/JavaScript
Languages
- Chinese (native)
- English (fluent)
- Japanese (fluent)

Publications

High-definition transcranial random noise stimulation enhances fluid intelligence with increasing cortical excitability

Zheng, T., Huang, Y., Sugino, M., Shimba, K., Jimbo, Y., & Kotani, K. (2026). High-definition transcranial random noise stimulation enhances fluid intelligence with increasing cortical excitability. Journal of Neural Engineering, 23(4), 046002. https://doi.org/10.1088/1741-2552/ae7d58

After-effects of Parieto-occipital Gamma Transcranial Alternating Current Stimulation on Behavioral Performance and Neural Activity in Visuo-spatial Attention Task

Zheng, T., Huang, Y., Sugino, M., Shimba, K., Jimbo, Y., & Kotani, K. (2026). After-effects of parieto-occipital gamma transcranial alternating current stimulation on behavioral performance and neural activity in visuo-spatial attention task. PeerJ, 14, e21220. https://doi.org/10.7717/peerj.21220

Adaptive Neural Network Scaling Guided by Contrastive Loss

Wang, Y., Zheng, T., Sugino, M., Shimba, K., & Kotani, K. (2026). Adaptive Neural Network Scaling Guided by Contrastive Loss. IEEJ Transactions on Electronics, Information and Systems, 146(4), 366–375. https://doi.org/10.1541/ieejeiss.146.366

Neural oscillation in low-rank SNNs: bridging network dynamics and cognitive function

Li B, Zheng T, Otsuki R, Sugino M, Shimba K and Kotani K (2025) Neural oscillation in low-rank SNNs: bridging network dynamics and cognitive function. Front. Comput. Neurosci. 19:1598138. doi: 10.3389/fncom.2025.1598138

Object-centered control of brain-computer interface systems in three-dimensional spaces using an intuitive motor imagery paradigm

Huang, Y., Toyokawa, K., Zheng, T., Shimba, K., Kotani, K., & Jimbo, Y. (2025). Object-centered control of brain-computer interface systems in three-dimensional spaces using an intuitive motor imagery paradigm. Advanced Biomedical Engineering, 14, 173–184. https://doi.org/10.14326/abe.14.173

Analyzing top-down visual attention in the context of gamma oscillations: a layer-dependent network-of-networks approach

Zheng T, Sugino M, Jimbo Y, Ermentrout GB and Kotani K (2024) Analyzing top-down visual attention in the context of gamma oscillations: a layer- dependent network-of- networks approach. Front. Comput. Neurosci. 18:1439632. doi: 10.3389/fncom.2024.1439632

Noise Enhances Excitability of a Neuronal Population with Heterogeneous Excitatory Neurons

Zheng, T., Li, B., Jimbo, Y., Shimba, K. and Kotani, K. (2024), Noise Enhances Excitability of a Neuronal Population with Heterogeneous Excitatory Neurons. IEEJ Trans Elec Electron Eng. https://doi.org/10.1002/tee.24166

The Effects of Biological Constraints on the Performance of Spiking Neural Networks

Li, B., Iguchi, R., Noyama, H., Zheng, T., Kotani, K., & Jimbo, Y. (2023). The effects of biological constraints on the performance of Spiking Neural Networks. IEEJ Transactions on Electronics, Information and Systems, 143(7), 634–640. https://doi.org/10.1541/ieejeiss.143.634

Controlling fluidic oscillator flow dynamics by elastic structure vibration

Loe, I.A., Zheng, T., Kotani, K. et al. Controlling fluidic oscillator flow dynamics by elastic structure vibration. Sci Rep 13, 8852 (2023). https://doi.org/10.1038/s41598-023-35643-1

Macroscopic gamma oscillation with bursting neuron model under stochastic fluctuation

Yoshikai, Y., Zheng, T., Kotani, K. & Jimbo, Y. Macroscopic gamma oscillation with bursting neuron model under stochastic fluctuation. Neural Comput 2023; 35 (4): 645–670. doi: https://doi.org/10.1162/neco_a_01570

Distinct effects of heterogeneity and noise on gamma oscillation in a model of neuronal network with different reversal potential

Zheng, T., Kotani, K. & Jimbo, Y. Distinct effects of heterogeneity and noise on gamma oscillation in a model of neuronal network with different reversal potential. Sci Rep 11, 12960 (2021). https://doi.org/10.1038/s41598-021-91389-8

Talks

Transcranial Alternative Current Stimulation (tACS) Modulates Behavior and Brain Dynamics in Visual Attention Task

July 26, 2023

Conference poster at 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia

Visual attention modulates neuronal response through changing the pathway current among neuronal populations: a computational study using multicolumnar model

August 31, 2022

Conference talk at Conference on Electronics, Information and Systems, The Institute of Energy Economics, Japan (IEEJ), Hiroshima, Japan

A multicolumnar model with mean-field approximation represents direct and indirect signal pathways in the visual cortex

March 16, 2022

Conference talk at Workshop of Medical and Biological Engineering, The Institute of Energy Economics, Japan (IEEJ), Online

The mean-field approximation method using circular cumulants finds distinct effects of heterogeneity and noise on gamma oscillation

January 08, 2022

Conference talk at Dynamics Days 2022, Online

Reduction of a coupled neuronal population with higher-order harmonics for depolarization using cumulant expansion

September 16, 2021

Conference poster at Conference on Electronics, Information and Systems, The Institute of Energy Economics, Japan (IEEJ), Online

Grants

JSPS DC1, 2021-2025
WINGS-CFS, 2021-2024

Awards

The Society of Instrument and Control Engineers Excellent Student Award (計測自動制御学会優秀学生賞), 2022.3

Tianyi Zheng

CV