Gansheng Tan is a PhD candidate in Biomedical Engineering at Washington University in St. Louis. He worked at Division of Neurotechnology. Gansheng Tan’s research spans a cross-section of engineering, data science, and neuroscience, focusing on human cognitive neuroscience using intracranial and scalp electroencephalogram, and neurotechnology development. He was an engineer at INSERM U1028 Centre de Recherche en Neurosciences de Lyon as well as a research fellow in L2S: Laboratoire des signaux et système. His contributions to science include open-source software development for electrophysiological signal processing and statistical models, system design for brain computer interface, wearable non-invasive vagus nerve stimulation for immunomodulation and neuromodulation, and corticomuscular network as a framework for improving stroke rehabilitation.

Research Interest

Gansheng TAN’s research is driven by a profound interest in dissecting the complex neural circuits that underpin human cognition, with a focus on electrophysiological mechanisms. Synthesizing principles from neuroscience, engineering, and computational modeling, he seeks to develop closed-loop neuromodulation technologies that improve the quality of life for people living with neurological conditions. To achieve this, Gansheng’s work spans the basic neuroscience of human cognition, as well as the development and clinical validation of neurotechnology (both hardware and software). He received his B.S. from ShangHai Jiao Tong University and graduate-level engineering degree at Centrale Paris. During first two years in mechanical department of ShangHai Jiao Tong University, Gansheng has evaluated water film flow on large vertical and inclined flat plate of the passive containment cooling system (PCCS). In the field of machine learning and information, he has contributed to the creation of the website La Condamine, the CANs(Creative Adversarial Networks) as well as several information propagation models. Gansheng worked on the analysis of EEG(Electroencephalography) signal during meditation focusing on several fields such as personal artifacts detection and relaxation degree classification since 2018. He came up with semi-automatic EEG preprocessing pipeline that is widely used by reseach teams in INSERM. Gansheng Tan earned a Master’s degree in mechnical engineerinig in Robotic Institute of Shanghai Jiao Tong University, and currently deal with graph-based functional analysis of multi-channels EEG-EMG signals and its application in sport performance assessment as well as stroke rehabilittion.

Awards

• 2025 Biomedical Engineering Teaching Award, Washington University in St. Louis, United States
• 2024 Best Scientific Abstract Award, Neurocritical Care Society, United States
• 2021 2021 China National Scholarship (top 0.5%)
• 2020 Changjiang Siyuan Scholarship, Shanghai Jiao Tong University, China
• 2018 Top 10 in Huawei Big Data Challenge, France
• 2018 Innovative Project Award, CS² Congrès Scientifique du Campus de Saclay, France
• 2016 Honor Student, Shanghai Jiao Tong University, China
• 2015 Excellent Design, Engineering Design Showcase, Shanghai Jiao Tong University, China

Project list

Feel free to contact Gansheng TAN by email if you are interested in one of the following projects

• Automomic and objective localization of Stereoelectroencephalography (sEEG) electrodes and deep brain stimulation electrodes based on MRI and CT.
• Development of wearable non-invasive vagus nerve stimulation and sensory stimulation for improving cognition
• [Done] artificial blood, the goal is to find the red blood cell substitutes
• [Done] biological and medical image restortion and reinforcement by minimizing the multi-layer graph-based energy function
• Language prouction research concerning ERP(Event-Related Potential), EEG or MEG(Magnetoencephalography). The main purpose is to create speech by using brain signals.
• [Done] Relevant feature engineering for EEG signals during meditation, TBR (theta-beta ratop) and PAC (phase amplitute coupling) prove disctinct between meditation expects and beginners in FA (focus attention) meditation.
• [Done] Computational bijection mapping between visual image (Visual Spatial Attention) and retinotopy
• [Done] stroke evaluation and intervention: the application of convolutional neural network on EEG-EMG functional connectivity graph

Philosophy

Gansheng TAN believes that

• Every decision is the best when reviewing the life trajectory in the future.
• The imperfait memory and learning ability is the best resource of motivation.
• Memory is key to understand the universe.

Other activities

Believing an open exchange of ideas accelerates scientific progress towards solving our most persistent problems. Gansheng TAN participate in a science project Open Science, the goal of which is to promote a open science platform (COS)[https://cos.io/] and a new publishing register pipeline. Gansheng TAN is contributing on open-source software for electrophysiology data acquition, data analytics, statistical models, and brain computer interface.

Gansheng TAN has initiated a social projet Tandem which aims to provide a platform and give those of commun interest or seeking a new skill an oppotunity to help each other. Gansheng was an instructor on Analysis, probability and Partial Differential Equation at CentraleSupelec. Gansheng Tan also contributed to R-packages such as eeglab and eegkits.

Gansheng TAN plays guitar and drums when he started the high school, and he praticed trombone when he was in La band’à joe. He created a band Aegean without sea at CentraleSupélec and had several performing at school festivial and at Univercité Paris Sud.

Gansheng TAN plays basketball for SJTU, and is a fan of rock climbing, hiking, and tennis.