Bac Cong is an AI Research Scientist at SonyAI with six years of experience bridging academic rigor and product-focused research in representation learning, vision-language models, and deep generative modeling. He earned a PhD from Ghent University on supervised distance metric learning and progressed through roles at Sony, Mila, and research stays in Europe and Canada, applying ML across vision, text, and audio. His work blends theoretical techniques for high-dimensional data with practical engineering—evident from an earlier internship where he shipped a Python package to automate categorical feature encoding. Based in Stuttgart, he moves comfortably between publishing research and delivering applied models for industry settings, bringing a strong pattern-recognition foundation to multimodal AI problems.
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