Hello! I’m Townim Faisal Chowdhury, a final-year Ph.D. candidate in Computer Science at the Centre for Augmented Reasoning, Australian Institute for Machine Learning (AIML), Adelaide University, supervised by Dr. Zhibin Liao, Dr. Johan Verjans and Dr. Vu Minh Hieu Phan.

My long-term research vision is to build transparent, trustworthy, and human-aligned intelligent systems that can be reliably deployed in real-world and high-stakes settings, including healthcare and embodied environments. During my doctoral research, I developed foundational methods for explaining what models perceive and how they reason; spanning pixel-level attribution (CVPR 2024), multimodal explanations (MICCAI 2024), counterfactual reasoning (ICCV 2025), and mechanistic interpretability of large multimodal models (ICASSP 2026). Together, these contributions advance explainable AI from post-hoc visualization toward faithful, concept-aligned understanding of model behavior.

Alongside academia, I bring 4+ years of industry experience in software and machine learning engineering. Most recently, I worked as a Research Scientist Intern at Dolby Laboratories, where I explored mechanistic interpretability in multimodal large language models (e.g., AudioLLMs) using Sparse autoencoder (SAE). Previously, I held roles in data engineering and AI product development, where I led teams, built ML pipelines, and worked closely with clients on deploying real-world solutions.

Before my Ph.D., I earned my B.Sc. in Computer Science & Engineering (Summa Cum Laude) from North South University, Dhaka, Bangladesh. There, I worked as a research assistant with Dr. Shafin Rahman on meta-learning for 3D point cloud data and with Dr. Ahsanur Rahman on graph algorithms.

My broader research interests span multimodal perception, interpretability, generative AI, and embodied AI. I enjoy bridging research and application—whether that’s developing interpretable AI for healthcare or tackling new challenges in large-scale ML systems that have real impact on human lives.

👉 You can explore my publications and LinkedIn for more details.
Currently, I am actively seeking Research Scientist, Applied Scientist opportunities, and Postdoctoral opportunities. I would love to connect and collaborate on impactful research.

For additional information, please see the CV (Last Updated on Jan 17, 2026).