Austin T. Wang

PhD Candidate at Simon Fraser University

Simon Fraser University

Biography

Austin Wang is a Ph.D. student at Simon Fraser University. His research interests include computer vision and natural language, including scene understanding and generation, and applications of AI to health.

Interests

Computer Vision (2D and 3D)
Natural Language Processing
Scene Understanding and Generation
Health and Biology

Education

PhD Candidate in Computer Science, 2023-present
Simon Fraser University
MEng in Electrical Engineering and Computer Science, 2020
Massachusetts Institute of Technology
BS in Computer Science and Engineering, 2020
Massachusetts Institute of Technology

Recent Publications

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Hou In Ivan Tam, Hou In Derek Pun, Austin T. Wang, Angel X. Chang, Manolis Savva (2024). SceneMotifCoder: Example-driven Visual Program Learning for Generating 3D Object Arrangements. ArXiv.

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Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham W. Taylor, Paul Fieguth, Angel X. Chang (2024). BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity. Advances in Neural Information Processing Systems.

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ZeMing Gong, Austin T. Wang, Joakim Bruslund Haurum, Scott C. Lowe, Graham W. Taylor, Angel X. Chang (2024). BIOSCAN-CLIP: Bridging Vision and Genomics for Biodiversity Monitoring at Scale. ArXiv.

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Pablo Millan Arias, Niousha Sadjadi, Monireh Safari, ZeMing Gong, Austin T. Wang, Scott C. Lowe, Joakim Bruslund Haurum, Iuliia Zarubiieva, Dirk Steinke, Lila Kari, Angel X. Chang, Graham W. Taylor (2023). BarcodeBERT: Transformers for Biodiversity Analysis. Proceedings of the NeurIPS Workshop on Self-Supervised Learning: Theory and Practice.

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Austin Wang (2020). Real-time computer-aided polyp detection and localization for clinical applications.

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Experience

Senior Machine Learning Engineer

Iterative Health

May 2019 – August 2023 Cambridge, Massachusetts

Developed image- and video-based computer vision models for endoscopy data toward detection of colorectal cancer and inflammatory bowel disease (IBD).