This profile has not been claimed and data may not be accurate.
60th percentile
PhD researcher at Maastricht University publishing audio-language AI at NeurIPS 2025
Credibility
Technical Depth · 70th percentile
- Currently shipping public code (most recent push 65 days ago, repo 'dotfiles').
- GitHub account @GLJS identified as belonging to Gijs Wijngaard via name match in the enrichment.
- GitHub account @GLJS is over 5 years old, created in March 2014.
Relationship Matrix
Founder score
- 90%Probability of being accurate (90%)Currently shipping public code (most recent push 65 days ago, repo 'dotfiles').
- 90%Probability of being accurate (90%)GitHub account @GLJS is over 5 years old, created in March 2014.
- 85%Probability of being accurate (85%)Employee at Maastricht University (maastrichtuniversity.nl, Majestic Million rank 6,368), a domain in the MM table.
- 85%Probability of being accurate (85%)GitHub account @GLJS identified as belonging to Gijs Wijngaard via name match in the enrichment.
- 85%Probability of being accurate (85%)Identified researcher at Maastricht University Institute of Data Science and Jülich Supercomputing Centre, with published papers at NeurIPS 2025 and IEEE Access.
What you likely need
You are a PhD candidate and AI researcher specialising in audio-language models, with a growing publication record including NeurIPS 2025 and IEEE Access. Your public GitHub presence and research output are solid foundations, but your profile currently lacks commercial or entrepreneurial signals. Strengthening your visibility in the applied AI and startup ecosystem could open doors beyond academia.
Would you attend these IRL Festival events?
We will tune and customize your Founder Festival experience to make sure you get invited to the events that would be most valuable to you.
- positioningIncrease the star count on your top repos (AudioToolAgent, AudSemThinker) by writing a clear README, adding a demo, and sharing them in relevant ML communities like Hugging Face, Papers With Code, and Reddit r/MachineLearning.
- positioningPublish your AudSemThinker model and audio datasets on Hugging Face Hub to reach a broader ML audience and accumulate downloads that signal real-world impact.
- introsLeverage your NeurIPS 2025 acceptance to connect with audio-AI startup founders and applied researchers at the conference — this is a high-leverage networking moment.
- tacticalSeek a collaboration or consulting engagement with an audio-AI startup (e.g., speech, music, or sound-event companies) to build commercial credibility alongside your academic record.
- positioningEnsure your Google Scholar profile is fully up to date with all publications and citation counts, as it is already indexed and is the primary signal for your research reputation.
- positioningYour involvement with Encode Justice Netherlands is a differentiator — consider writing publicly about AI policy and ethics to build a thought-leadership presence beyond pure research.
- fundraisingAs you near the end of your PhD (2021–2025), explore whether your audio-language model research could form the basis of a spinout or applied product — your technical depth is a strong foundation.