Dongyang Li (李东洋)

Data Scientist

https://talent.gravityer.com/dongyang-li

Last year MS student at NCCLab@SUSTech | DGMs, AI for Neuroscience, Self-improving AI

Southern University of Science and Technology

Key Strengths

Strong academic background in data science, particularly in neuroscience and brain-computer interfaces, evidenced by multiple research projects and publications.
Proficiency in Python and Jupyter Notebook, essential tools for data science and machine learning.
Experience with vision-language models and multimodal neural embeddings, indicating advanced ML/AI capabilities.
Demonstrated ability to conduct and publish research in top-tier conferences (NeurIPS, ACM MM, ICLR, Scientific Data).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily concentrated in academic research within neuroscience and brain-computer interfaces. While demonstrating deep technical expertise in a niche area, there is limited evidence of diversity in project types (e.g., industry applications, product development, cross-functional team projects) or a broad range of technologies beyond Python and shell scripting. This narrow focus might indicate a specific cultural fit for research-oriented roles but less so for broader industry applications requiring diverse problem-solving and technology stacks.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

BHA-project-page

May 25, 2026 – Present

Project page: Brain Hierarchical Alignment (BHA)

View Project

BrainFLORA

July 13, 2025 – Present

[ACM MM 2025 Oral] Reproducible multimodal neural embeddings for EEG, MEG, and fMRI visual retrieval, reconstruction, and captioning.

View Project

MindPilot

May 12, 2025 – Present

[ICLR 2026] MindPilot: Closed-Loop Visual Stimulation Optimization with Black-Box EEG-Guided Diffusion

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BrainFLORA

January 31, 2025 – August 24, 2025

BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings

View Project

ChineseEEG-2

October 17, 2024 – Present

[Scientific Data] ChineseEEG-2: Multimodal Chinese EEG dataset for reading/listening semantic alignment and neural decoding.

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closed-loop

October 2, 2024 – December 2, 2024

closed-loop — GitHub repository

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dongyangli-del

March 31, 2024 – Present

My personal repository.

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git_test

March 10, 2024 – March 10, 2024

git_test — GitHub repository

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EEG_Image_decode

December 20, 2023 – Present

[NeurIPS 2024] Using vision-language models to decode natural image perception from non-invasive brain recordings.

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qingxinzhineng.cn

February 2, 2022 – February 2, 2022

qingxinzhineng.cn — GitHub repository

View Project

Key Strengths

Strong academic background in data science, particularly in neuroscience and brain-computer interfaces, evidenced by multiple research projects and publications.
Proficiency in Python and Jupyter Notebook, essential tools for data science and machine learning.
Experience with vision-language models and multimodal neural embeddings, indicating advanced ML/AI capabilities.
Demonstrated ability to conduct and publish research in top-tier conferences (NeurIPS, ACM MM, ICLR, Scientific Data).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Dongyang Li (李东洋)

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit