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Women in AI Meetup: Clinical LLMs, Neural Rendering & Agent Evaluation

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About this event

What to expect

Hear from leading women in AI as they share cutting-edge research and insights on evaluating large language models, neural material rendering, AI agent evaluation, and language diffusion models. This online meetup brings together experts working at the forefront of artificial intelligence, machine learning, and computer vision to discuss critical challenges in building reliable, production-ready AI systems.

Featured Talks

Towards Reliable Clinical AI by Monica Munnangi, Northeastern University doctoral student, explores how to evaluate ChatGPT and other large language models for clinical settings. Learn about systematic evaluation methods across factuality (FactEHR), instruction sensitivity (showing up to 0.6 AUROC variation), knowledge integration (BEACON improving biomedical NER by 15%), and patient-centered communication. This talk addresses critical questions about AI safety and reliability in healthcare applications.

Neural BRDFs: Learning Compact Representations for Material Appearance by Manushree Gangwar, Machine Learning Engineer at Voxel51, examines how neural networks can encode complex material behavior for realistic rendering. Discover how neural BRDFs bridge the gap between fast parametric models and massive measured datasets, leveraging directional correlations and symmetry for significant compression without sacrificing quality.

Supercharging AI agents with evaluations by Dr. Priya Venkat, Senior AI Manager at Intuit, demonstrates how simulation-based testing provides next-generation evaluation infrastructure for production AI agents. Learn why rigorous evaluation must become a core engineering discipline—not just a QA step—for ensuring safety, predictability, misuse resistance, and sustained user trust in agentic AI systems.

Language Diffusion Models by Jayita Bhattacharyya introduces LLaDA, a diffusion model that challenges the dominance of autoregressive architectures in large language models. Discover how LLaDA 8B achieves competitive performance with models like LLaMA3 8B through probabilistic inference and likelihood optimization.

This event is ideal for AI practitioners, researchers, and engineers interested in machine learning evaluation, computer vision, clinical AI applications, and emerging model archit

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