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Women in AI Online Meetup: Clinical AI, Neural Rendering, Agent Evaluation & Language Diffusion

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Voxel51
About this event

What to expect

This online Women in AI Meetup brings together experts from across the globe to share insights on cutting-edge developments in artificial intelligence, machine learning, and computer vision. Whether you're building AI agents, working with neural networks, or exploring data-centric visual AI, this event offers practical knowledge from researchers and practitioners tackling real-world AI challenges.

What You'll Learn

The session features four technical presentations covering critical aspects of modern AI development:

Clinical AI Reliability — Monica Munnangi, a doctoral researcher at Northeastern University's Khoury College of Computer Sciences, examines how to build trustworthy large language models for healthcare settings. Her research addresses fundamental challenges like hallucinations, instruction sensitivity (showing up to 0.6 AUROC variation), and real patient conversations. Learn about evaluation frameworks including FactEHR for verifying medical facts and BEACON, which improves biomedical named entity recognition by 15%.

Neural Material Rendering — Manushree Gangwar, Machine Learning Engineer at Voxel51, explores how neural networks compress complex material appearance data. Discover how Neural BRDFs (Bidirectional Reflectance Distribution Functions) bridge the gap between fast parametric models and massive measured datasets, enabling realistic rendering while maintaining compact representations.

AI Agent Evaluation — Dr. Priya Venkat, Senior AI Manager at Intuit, demonstrates how simulation-based testing provides robust evaluation infrastructure for production AI agents. This session focuses on integrating evaluation deeply into the development lifecycle to ensure safety, predictability, and sustained user trust in agentic AI systems.

Language Diffusion Models — Jayita Bhattacharyya challenges conventional autoregressive approaches by presenting LLaDA, a diffusion model trained under the pre-training and supervised fine-tuning paradigm. See how LLaDA 8B achieves competitive performance with models like LLaMA3 8B through probabilistic inference and vanilla Transformer architectures.

Who Should Attend

This meetup suits AI practitioners, machine learning engineers, researchers, and technical leaders working with ChatGPT, Claude, or custom AI models. Whether you're exploring healthcare applications, 3D graphics, autonomous systems, or generative AI, you'll find relevant technical insights

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