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bci eeg deep learning

completed24 qualified1 runMar 30, 8:34 AMbci-eeg-deep-learning
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    Qualified Candidates (17)

    AV

    Alessandro Marin Vargas

    high hireability

    Postdoctoral Scholar@Stanford University

    Previously: PHD Graduate Student @ Ecole polytechnique fédérale de Lausanne

    San Francisco, US

    59
    Neuroscience Foundations83
    BCI Systems82
    Deep Learning for Biosignals78
    Multimodal Integration28
    EEG Signal Processing25
    Strengths
    Postdoc at Stanford NPTL — core BCI lab (neural prosthetics for paralysis)
    Task-driven neural network models predict neural dynamics (Cell 2024, 35 cites)
    Gaps
    No EEG-specific work found — NPTL focuses on implanted intracortical arrays
    …click to see all
    HF

    Hao Fang

    high hireability

    Postdoctoral Scholar@University of Washington

    Previously: Postdoctoral Scholar @ University of Central Florida

    Seattle, US

    61
    BCI Systems88
    Deep Learning for Biosignals78
    EEG Signal Processing65
    Neuroscience Foundations62
    Multimodal Integration10
    Strengths
    SPINT 2025: Transformer for intracortical motor decoding — core BCI+DL
    EEG meta-learning paper (2025) — cross-subject generalization
    Gaps
    EEG pipeline depth limited — BCI work leans toward intracortical signals
    …click to see all
    IH

    Iris A.M. Huijben

    high hireability

    Postdoctoral researcher@Universiteit Maastricht

    Previously: Research Intern @ Meta

    NL

    52
    EEG Signal Processing85
    Deep Learning for Biosignals82
    Neuroscience Foundations55
    BCI Systems30
    Multimodal Integration8
    Strengths
    PhD cum laude (TU/e, 2024): EEG sleep staging via discrete representation learning
    Deep clustering of polysomnography (EEG) data — 2025 publication in Journal of Neuroscience Methods
    Gaps
    BCI systems: sleep staging, not motor imagery / P300 / closed-loop control applications
    …click to see all
    SD

    Simon Dahan

    high hireability

    Postdoc@Meta

    Previously: Postdoc @ Université de Lausanne

    San Francisco, US

    50
    Neuroscience Foundations78
    Deep Learning for Biosignals78
    Multimodal Integration55
    BCI Systems25
    EEG Signal Processing15
    Strengths
    Surface Vision Transformers — 37 citations, MIDL 2022 oral
    SIM (2025): multimodal inter-subject fMRI neural decoding at Meta
    Gaps
    No published EEG work — all brain signal work is fMRI/surface
    …click to see all
    YZ

    Yizi Zhang

    high hireability

    PhD student@Columbia University

    72
    BCI Systems92
    Deep Learning for Biosignals90
    Neuroscience Foundations82
    EEG Signal Processing55
    Multimodal Integration42
    Strengths
    1st place Brain-to-Text 2024 benchmark — top BCI decoding result
    ICLR 2026: brain-to-text inner speech decoding (end-to-end BCI)
    Gaps
    Primary modality is invasive electrophysiology, not scalp EEG
    …click to see all
    YW

    Yule Wang

    high hireability

    Graduate Research Assistant@Georgia Institute of Technology

    Previously: Research Scientist Intern @ Meta

    Atlanta, US

    44
    Neuroscience Foundations75
    Deep Learning for Biosignals70
    Multimodal Integration40
    BCI Systems20
    EEG Signal Processing15
    Strengths
    NeurIPS 2023 Spotlight: diffusion for spatio-temporal neural dynamics (27 citations)
    NeurIPS 2024: behavior-video + neural data fusion — multimodal neural decoding
    Gaps
    No direct BCI systems work — no real-time decoding or human-subject BCI benchmarks
    …click to see all
    BZ

    Bingzhao Zhu

    medium hireability

    PhD student@Cornell University

    63
    BCI Systems92
    Deep Learning for Biosignals78
    EEG Signal Processing75
    Neuroscience Foundations55
    Multimodal Integration15
    Strengths
    NeuralTree SoC: 256-ch closed-loop neuromodulation + ML chip (110 citations)
    ECoG finger movement decoding — Riemannian features + ML pipeline
    Gaps
    No multimodal fusion (EEG+fMRI, EEG+EMG) — single-modality focus
    …click to see all
    DE

    Denis-Alexander Engemann

    medium hireability

    Biomarker & Experimental Medicine Leader@Roche

    Previously: Researcher @ Inria

    Basel, CH

    77
    EEG Signal Processing97
    Neuroscience Foundations85
    Deep Learning for Biosignals85
    Multimodal Integration62
    BCI Systems55
    Strengths
    MNE-Python core contributor — defining EEG/MEG processing tool (4208 citations)
    Autoreject: automated EEG artifact rejection (593 citations)
    Gaps
    No classic BCI (motor imagery, P300, SSVEP) — focus on biomarkers and consciousness
    …click to see all
    DZ

    Dongdong Zhou

    medium hireability

    Postdoc@Dalian University of Technology

    Previously: PhD student @ University of Jyväskylä

    CN

    60
    EEG Signal Processing85
    Deep Learning for Biosignals85
    Multimodal Integration55
    Neuroscience Foundations45
    BCI Systems30
    Strengths
    SingleChannelNet: 60-citation end-to-end CNN on raw single-channel EEG
    Multimodal sleep scoring (EEG+EOG+EMG) deep learning architecture, 35 citations
    Gaps
    No traditional BCI work (motor imagery, P300, SSVEP, real-time decoding)
    …click to see all
    HP

    Huy Phan

    medium hireability

    Research Scientist@Meta

    Previously: Senior Research Scientist @ Amazon

    Paris, FR

    61
    Deep Learning for Biosignals93
    EEG Signal Processing90
    Neuroscience Foundations50
    BCI Systems48
    Multimodal Integration25
    Strengths
    SleepTransformer (321 citations) — Transformer applied directly to EEG for staging
    XSleepNet (306 citations) — multi-view sequential EEG model
    Gaps
    Primary focus is sleep staging (passive EEG), not active BCI decoding
    …click to see all
    JS

    Joana Soldado-Magraner

    medium hireability

    Postdoctoral Research Associate@Carnegie Mellon University

    Previously: PhD student @ University College London, University of London

    Pittsburgh, US

    41
    Neuroscience Foundations85
    BCI Systems72
    Deep Learning for Biosignals32
    EEG Signal Processing10
    Multimodal Integration5
    Strengths
    MiSO (NeurIPS 2024): ML-driven brain stimulation optimization for neural state control
    OMiSO (2025): adaptive closed-loop brain stimulation — real-time BCI decoding/control
    Gaps
    Intracortical focus (MEA/single neuron) — not EEG/scalp signal processing
    …click to see all
    KB

    Konstantinos Barmpas

    medium hireability

    Machine Learning Engineer@Cogitat

    Previously: PhD Candidate @ Imperial College London

    London, GB

    73
    BCI Systems93
    Deep Learning for Biosignals92
    EEG Signal Processing91
    Neuroscience Foundations72
    Multimodal Integration15
    Strengths
    PhD thesis on Motor-Imagery BCIs with deep learning — exact query match
    ICML 2025: large brainwave foundation model capability evaluation
    Gaps
    No multimodal fusion work (EEG + fMRI/EMG/eye-tracking)
    …click to see all
    PG

    Peiliang Gong

    medium hireability

    Postdoctoral Researcher@Nanyang Technological University

    Previously: Visiting Researcher @ A*STAR

    Singapore, SG

    65
    EEG Signal Processing88
    Deep Learning for Biosignals87
    BCI Systems85
    Neuroscience Foundations35
    Multimodal Integration30
    Strengths
    SNN+GCN+LSTM for EEG-BCI — 86 citations (IEEE TNNLS 2023)
    Cross-subject EEG domain adaptation — core research identity
    Gaps
    Multimodal EEG fusion is peripheral — one co-authored EEG+fMRI paper only
    …click to see all
    RS

    Robin Tibor Schirrmeister

    medium hireability

    Researcher@Medical Center - University of Freiburg

    Previously: Researcher @ Meta

    Freiburg, DE

    72
    Deep Learning for Biosignals95
    EEG Signal Processing90
    BCI Systems82
    Neuroscience Foundations72
    Multimodal Integration20
    Strengths
    Braindecode founding contributor — canonical DL-for-EEG library
    2017 deep CNN EEG decoding paper — 1,500+ citations, Human Brain Mapping
    Gaps
    Based in Germany (Freiburg) — no US/remote signal
    …click to see all
    CL

    Chengrui Li

    low hireability

    research scientist@Meta

    Previously: Intern @ A*STAR

    Atlanta, US

    43
    Neuroscience Foundations74
    Deep Learning for Biosignals68
    BCI Systems42
    Multimodal Integration22
    EEG Signal Processing8
    Strengths
    Meta CTRL-Labs Research Scientist — live BCI (sEMG) deployment role
    NeurIPS 2023 Spotlight + NeurIPS 2024: diffusion models for neural data
    Gaps
    Zero EEG papers — all biosignal work on spike/LFP, not scalp EEG
    …click to see all
    OJ

    Oiwi Parker Jones

    low hireability

    Principal Researcher@University of Oxford

    Previously: Lecturer @ University of Oxford

    Oxford, GB

    77
    BCI Systems95
    Deep Learning for Biosignals92
    Neuroscience Foundations82
    EEG Signal Processing75
    Multimodal Integration40
    Strengths
    MEG-XL (ICML 2026): long-context pretraining for brain-to-text decoding
    LibriBrain: 50hr MEG benchmark dataset, NeurIPS 2025
    Gaps
    PI-level seniority — unlikely to take IC role
    …click to see all
    WL

    Weihan Li

    low hireability

    PhD student@Georgia Tech

    Previously: MS student @ Zhejiang University

    US

    58
    Neuroscience Foundations80
    Deep Learning for Biosignals70
    Multimodal Integration60
    BCI Systems50
    EEG Signal Processing30
    Strengths
    ICML 2025 Oral: scalable GPs for multi-region brain communications
    NeurIPS 2024: diffusion models on neural dynamics — deep learning for biosignals
    Gaps
    EEG-specific work absent — publications focus on LFP/spike data in animals
    …click to see all

    Runs

    #1completed24 qualified / 24 foundMar 30, 8:34 AM