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Brain computer interface, brain foundation models, EEG foundation model, neural…

completed23 qualified1 runApr 27, 7:53 PMbrain-computer-interface-brain-foundation-models-eeg-foundat
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    Qualified Candidates (20)

    GM

    Gavin Mischler

    high hireability

    Graduate Research Assistant@Columbia University

    Previously: Quant Trading Summer Associate @ Barclays

    New York, US

    • PhD Candidate at Columbia's Neural Acoustic Processing Lab (NSF GRF), directly working on EEG and intracranial neural decoding
    • Key papers: 'Neuro2Semantic' (EEG semantic language reconstruction, 2025), 'Contextual feature extraction hierarchies converge in LLMs and the brain' (62 citations, 2024), and BCI SSVEP keypad paper
    • Maintains naplib-python for neural acoustic data processing
    • Hireability: HIGH — ~5 years into PhD at Columbia, prime transition window, active recent publications (new papers added Dec 2025 and Feb 2026)
    WJ

    Weibang Jiang

    high hireability

    PhD student@Shanghai Jiao Tong University

    Previously: Intern @ Microsoft

    Hangzhou, CN

    • Direct hit on EEG foundation models: first author of NeuroLM (ICLR 2025, universal multi-task EEG foundation model) and LaBraM (ICLR 2024 spotlight, large brain model for BCI)
    • Also published Du-IN on neural decoding of speech from intracranial signals
    • Interned at Microsoft Research Asia (2024) on EEG foundation models
    • Hireability: HIGH — PhD expected to graduate June 2026 (~2 months away), just ended NTU visiting position, no new role announced. Prime transition window
    AD

    Alan Du

    medium hireability

    Research Engineer@Meta

    Previously: Tech Lead, Science Team @ Meta

    New York, US

    • Research Engineer at Meta Reality Labs working directly on EMG-based neural interfaces for BCI
    • Key papers: 'A generic non-invasive neuromotor interface for human-computer interaction' (2025, 70 citations) and 'emg2qwerty' (NeurIPS 2024) — large-scale EMG neural decoding for touch typing
    • Multiple Meta patents on neuromuscular signal processing for speech/text input
    • Co-author of Alexandre Gramfort (EEG/neural decoding pioneer)
    • Directly relevant to BCI and neural decoding query
    • Hireability: MEDIUM — 4+ years at Meta within the typical transition window; LinkedIn showed ambiguous 'Something New' field with no explicit open-to-work signal
    CD

    Changde Du

    medium hireability

    Associate Researcher@Institute of Automation, Chinese Academy of Sciences

    Previously: Researcher @ Huawei Technologies Ltd.

    Beijing, CN

    • Associate Professor at CASIA with deep direct expertise in EEG emotion recognition (290-citation domain adaptation paper), neural decoding (BraVL brain-visual-linguistic model, MindDiffuser), fMRI encoding/decoding, and BCI systems — perfectly aligned with the BCI/EEG foundation model/neural decoding query
    • H-index 20
    • Recent ICLR 2025 paper on reconstructing dynamic vision from brain activity and ICML 2025 on emotion decoding
    • Hireability: MEDIUM — stable Associate Professor position at Chinese Academy of Sciences (Beijing), no open-to-work signals, but pipeline shows a cv_update in Sep 2025 (73 days ago) indicating some career motion
    DE

    Denis-Alexander Engemann

    medium hireability

    Biomarker & Experimental Medicine Leader@Roche

    Previously: Researcher @ Inria

    Basel, CH

    • Pioneer of self-supervised/representation learning for EEG (h-index 29; 'Uncovering the structure of clinical EEG signals with SSL', Journal of Neural Engineering 2021, 300 citations; 'Self-supervised representation learning from EEG signals', IEEE MLSP 2019)
    • Core MNE-Python contributor (4208 citations)
    • Recent novel EEG architecture work (GREEN, 2025) and EEG biomarker ML (2025)
    • Squarely in EEG foundation model and neural decoding space
    • Based in Basel, CH at Roche
    • Hireability: MEDIUM — senior leadership role ('Biomarker & Experimental Medicine Leader') at Roche ~3-4 years (within transition window), still actively publishing and committing to EEG repos (last GitHub commit Apr 2025), no explicit openness signals but strong ongoing research community engagement
    DH

    Dexuan He

    medium hireability

    Postgraduate student@Shanghai Jiao Tong University

    Shanghai, CN

    • Published 2 papers on EEG BCI (ManiBCI 2024, Professor X 2025) — both on adversarial backdoor attacks on EEG classification systems, demonstrating deep EEG signal processing and BCI domain knowledge (frequency analysis, electrode selection, RL-based attack strategies)
    • Adjacent to core query focus on EEG foundation models/neural decoding; contribution is security of BCI rather than building/advancing decoding
    • Postgraduate at SJTU under BCI-focused advisor Wei-Long Zheng
    • GitHub bio says 'interested in AI4Med', with pinned repos in pathology/medical imaging suggesting broad medical AI orientation beyond EEG
    • Hireability: MEDIUM — postgraduate student at SJTU (approaching graduation, prime transition window), active publications in 2024-2025, no explicit availability signals
    HS

    Hanwen Shi

    medium hireability

    PhD student@Shanghai Jiaotong University

    Previously: Undergrad student @ Shanghai Jiaotong University

    Shanghai, CN

    • PhD student at BCMI Lab (SJTU, Prof
    • Bao-liang Lu's group), working directly on EEG neural decoding
    • Co-authored EEG2Video at NeurIPS 2024 — decoding dynamic visual perception from EEG signals using Seq2Seq architecture
    • Maintains EEG_TF GitHub repo (EEG transformer experiments)
    • Strong match for neural decoding / EEG foundation models query
    • Hireability: MEDIUM — PhD student, ~3-4 years in program by 2026 (GitHub created 2019), approaching typical transition window, no explicit job-seeking signals detected
    HB

    Hubert Banville

    medium hireability

    AI Research Scientist@Meta

    Previously: Research Scientist @ Interaxon

    London, GB

    • EEG/BCI researcher at Meta FAIR Brain & AI group
    • Authored the landmark DL+EEG systematic review (1527 citations), pioneered self-supervised/foundation model approaches for EEG signals (300 citations), and has recent work on neural decoding for visual perception reconstruction (2023)
    • Research expertise explicitly covers electroencephalography, neural decoding, and brain-computer interfaces — a direct query match with h-index 14
    • Hireability: MEDIUM — at Meta FAIR since 2022 (~3-4 years), within the typical transition window, but no active signals of job seeking from website, GitHub, or pipeline signals
    JP

    Jie Peng

    medium hireability

    PhD student@Institute of Automation, Chinese Academy of Sciences

    Beijing, CN

    • Moderate BCI/neural decoding relevance — PhD student at ICAS working primarily on continual learning and embodied AI, but with direct brain activity work: EmoGrowth does multi-label emotion decoding from brain activity datasets, and BraiNav uses a self-supervised brain encoder (brain foundation model) trained on large-scale brain activity data
    • Core focus is not EEG/BCI but brain data is a recurring modality
    • Hireability: MEDIUM — PhD student at Chinese Academy of Sciences, no clear graduation signal; last website activity 544 days ago, no open-to-work signals, but PhD timeline could be approaching completion
    JR

    Joséphine Raugel

    medium hireability

    Doctoral Student@Meta

    Previously: Research Engineer @ École normale supérieure

    Paris, FR

    • PhD student at ENS LNC2 in Jean-Remi King's lab (Meta FAIR), working on brain-LLM alignment using MEG data
    • NeurIPS 2025 spotlight co-author on 'Scaling and context steer LLMs along the same computational path as the human brain' (MEG, neural dynamics)
    • Lab directly produces EEG Foundation Challenge 2025 and neural word/image decoding work — squarely on target for this search
    • Hireability: MEDIUM — doctoral student (first paper 2025, h-index 1), likely mid-PhD, no graduation date or job-market signals detected
    LJ

    Liuyun Jiang

    medium hireability

    PhD student@Institute of Automation, University of the Chinese Academy of Sciences

    Hong Kong, CN

    • Co-authored ICLR 2025 paper (Mind-Animator) on reconstructing dynamic visual experiences from fMRI via fMRI-vision-language tri-modal contrastive learning — directly on-point neural decoding research
    • PhD student at UCAS Institute of Automation under Changde Du's BCI lab, research expertise listed as Intelligent Biomedical Imaging
    • Hireability: MEDIUM — PhD student with no graduation timeline signals or active job-seeking indicators in pipeline; no LinkedIn profile changes or website activity detected
    SD

    Stéphane d'Ascoli

    medium hireability

    Research Scientist@Meta

    Previously: AI4Science research fellow @ EPFL

    • Research Scientist in Meta AI's Brain & AI team with 8 brain decoding papers (2024-2025), including 'Brain-to-text decoding via typing' (arXiv 2025), 'Scaling laws for decoding images from brain activity' (arXiv 2025), 'Deep Learning on M/EEG Signals: Adapt Your Model, Not Your Preprocessing', and 'Decoding individual words from non-invasive brain recordings across 723 participants' (Nature Comms 2025)
    • Co-author of Jean-Remi King. h-index 17, PhD ENS Paris 2022
    • Paris-based
    • Hireability: MEDIUM — ~3 years at Meta AI, within transition window but no active job-seeking signals detected
    XC

    Xiaoyu Chen

    medium hireability

    PhD student@Institute of automation, Chinese academy of science, Chinese Academy of Sciences

    CN

    • PhD student at CASIA under Huiguang He, explicitly working on neural decoding and auditory attention decoding from fMRI
    • ICML 2025 paper on incremental multi-label emotion decoding and ICLR 2025 submission on coarse-to-fine audio reconstruction from fMRI
    • Research expertise listed as neural decoding + auditory attention — direct match to the search query
    • Hireability: MEDIUM — ~4 years into PhD (started 2022), within typical graduation window for Chinese PhDs; no explicit job-seeking signals found
    XZ

    Xuanliu Zhu

    medium hireability

    MS student

    CN

    • Co-authored ICLR 2025 paper 'Animate Your Thoughts' (Mind-Animator) on fMRI-based video reconstruction from brain activity — directly on-target for neural decoding and BCI
    • MS student at BUPT, collaborating with CAS Institute of Automation (Changde Du's group)
    • Hireability: MEDIUM — MS student with strong publication record, likely near graduation and considering PhD or industry roles, but no explicit open-to-work signals detected
    XL

    Xujin Li

    medium hireability

    PhD student@NeuBCI Institute of Automation, Chinese Academy of Science

    CN

    • Core EEG-BCI researcher at CASIA NeuBCI lab with 5+ papers on EEG decoding (RSVP-BCI, zero-calibration EEG transformers) and neural decoding from fMRI (ICLR 2025)
    • Directly relevant to BCI, EEG foundation models, and neural decoding queries
    • Hireability: MEDIUM — PhD student active since ~2022, now in ~3rd-4th year; likely approaching graduation transition window. Based in China with no LinkedIn/GitHub signals, but publication trajectory suggests late-stage PhD
    YL

    Yizhuo Lu

    medium hireability

    Ph.D. student@Institute of Automation, Chinese Academy of Sciences

    Previously: Undergrad student @ Beijing Institute of Technology

    Beijing, CN

    • Ph.D. student at CASIA directly working on brain decoding, EEG-BCI, and brain foundation models
    • Published MindDiffuser (60 citations, ACM MM 2023) on image reconstruction from brain activity, Animate Your Thoughts (ICLR 2025) on dynamic visual neural decoding from fMRI, and EEG/eye-movement fusion for RSVP-BCI (2025)
    • Hireability: MEDIUM — 3rd-year PhD student at CASIA (started 2023), not yet in final-year transition window; pipeline signals show cv_update (Jul 2025) and position_update (Sep 2025) indicating career motion
    YB

    Yohann Benchetrit

    medium hireability

    Researcher@Meta

    • Direct hit: AI Research Engineer at Meta FAIR Paris working on brain decoding from fMRI signals
    • Published 'Brain decoding: toward real-time reconstruction of visual perception' (2024) and 'Sample-efficient decoding of visual stimuli from fMRI' (2025); maintains the WAVE repo ('Decoding Visual Experience using fMRI Foundation Models') and brain-diffuser
    • Co-authors with Jean-Remi King — the leading BCI/neural decoding team at FAIR
    • Hireability: MEDIUM — stable and prestigious role at Meta FAIR, no signals of job seeking or transition, but within a reasonable tenure window and recruitable for the right opportunity
    YL

    Yu-Ting Lan

    medium hireability

    Shanghai Jiao Tong Unviersity

    Previously: Researcher @ ByteDance

    • EEG and brain signal researcher in BCMI lab (Bao-Liang Lu) at SJTU
    • Published neural decoding paper 'Seeing through the Brain: Image Reconstruction of Visual Perception from EEG' (arXiv 2308.02510) and CEMOAE EEG deep learning model (2024). h_index 6, research expertise explicitly 'Brain Signal'
    • Directly relevant to EEG foundation models and neural decoding
    • Hireability: MEDIUM — likely PhD student at SJTU, no explicit transition signals, last website activity ~15 months ago, no LinkedIn/GitHub
    AC

    Antoine Collas

    low hireability

    Postdoctoral Researcher@Inria

    Previously: PhD @ CentraleSupélec

    Paris, FR

    • Models team lead at Karavela.ai (since Aug 2025), which is explicitly building a brain foundation model
    • PhD + postdoc (Inria, Nov 2022–Jul 2025) in Riemannian geometry for EEG/MEG/fMRI
    • Published 6 EEG/MEG/brain papers including NeurIPS 2025 brain connectivity flow matching paper
    • Based in Paris, FR, h_index 7
    • Hireability: LOW — ~9 months into founding team lead role at a brain foundation model startup, no open-to-work signals, website updated March 2026 showing settled in current role
    XL

    Xuan-Hao Liu

    low hireability

    Ph.D student@Shanghai Jiao Tong University

    Previously: M.S student @ Shanghai Jiao Tong University

    Shanghai, CN

    • Core EEG/neural decoding researcher at SJTU — NeurIPS 2024 paper on EEG-to-video (visual perception decoding from EEG), AAAI 2026 MindCross for cross-subject brain decoding, EEGMirror for montage-agnostic self-supervised EEG foundation modeling, BCI competition champion (Dec 2025)
    • Research directly targets neural decoding and EEG foundation model themes
    • Hireability: LOW — started PhD June 2024 (~22 months in), no graduation timeline or job market signals; likely 2+ years from completion

    Runs

    #1completed0 qualified / 0 foundApr 27, 7:53 PM