ServiceNow AI Research

David Vazquez

David Vazquez

Director of AI Research

AI Research Management

Leadership team

David Vázquez is Director of AI Research at ServiceNow Research, where he leads the Fundamental AI Research group. His current work focuses on multimodal learning, vision–language models, reasoning for enterprise applications, web agents, and data-efficient learning. He has published extensively in top venues such as NeurIPS, ICLR, ICML, CVPR, ICCV, and ACL, contributing to advances in multimodal document understanding (BigDocs), chart reasoning (BigCharts), visual content–to–code generation (StarFlow, StarVector), and alignment techniques for VLMs (AlignVLM). David received degrees in Software Engineering from Universidade da Coruña and in Computer Science from the Universitat Autònoma de Barcelona (UAB), including a PhD in Computer Vision and AI. He completed postdoctoral fellowships at the Computer Vision Center (CVC) and at MILA under Aaron Courville, funded by a Marie Curie Fellowship. Earlier in his career, he worked on autonomous driving technologies, creating the SYNTHIA dataset, an autonomous driving simulator, and contributing to real vehicle prototypes with a focus on perception (object detection, semantic segmentation, 3D reconstruction, SLAM). He is also an Adjunct Professor at UAB, where he continues to teach and supervise graduate research.

Interests
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Intent Classification
  • Low Supervision

Publications

Workflow discovery in low data regimes. Workshop at the International Conference on Machine Learning (ICML),  2023.

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Object-centric Compositional Imagination for Visual Abstract Reasoning. Workshop at the International Conference on Learning Representations (ICLR),  2022.

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Knowledge Hypergraphs: Prediction Beyond Binary Relations. International Join Conference on Artificial Intelligence (IJCAI),  2020.

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Knowledge Hypergraphs: Prediction Beyond Binary Relations. Workshop at the Association for the Advancement of Artificial Intelligence (AAAI),  2020.

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Fourier-CPPNs for Image Synthesis. Workshop at the International Conference on Computer Vision (ICCV),  2019.

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Learning to Remove Rain in Traffic Surveillance by Using Synthetic Data. International Conference on Computer Vision Theory and Applications (VISIGRAPP),  2018.

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