CORPORATE KEYNOTE SERIES

Bio : Dr. Abdali is a Senior Researcher at Applied Sciences Group (ASG) working on a variety of NLP and multimodal tasks including customization and distillation of Microsoft Turing and Microsoft Phi  LLMs/SLMs for downstream tasks, multitask architectures, multimodal generative models, causa and more recently multimodal conversational agents. Before joining Microsoft, she was a postdoctoral CIFellow at Georgia Tech, working on my NSF funded project, “Adversarially robust multimodal misinformation detection”. She earned her Ph.D. from the University of California, Riverside (UCR), where she received the Dean’s Distinguished Fellowship Award , which fully funded her studies. During the Ph.D., she mainly worked on misinformation detection leveraging multilinear (tensor) algebra along with a variety of NLP and vision techniques. She also worked on Deepfake video detection and development of text augmentation techniques in few-shot settings. In fall 2020, she completed a research internship at Lenovo Research,  where the worked on deep learning-based image enhancement. In summer 2021, she finished another internship at Microsoft where she worked on development of cutting-edge NLP techniques.

Tiltle of the talk: Philosophy-Inspired NLP to Foster Innovation

Abstract: Investigating NLP through a philosophical lens has recently caught researchers’ attention, as it connects computational methods with classical schools of philosophy. This talk explores the existing body of work on philosophy-driven NLP and introduces a novel philosophical approach inspired by the Hegelian Dialectic to foster self-reflection in large language models (LLMs). By employing a self-dialectical method, these models can simulate internal critiques and synthesize new ideas by reconciling and unifying conflicting viewpoints. The talk also explores the models’ ability to generate novel ideas from an initial proposition. Additionally, Multi-Agent strategies will be explored as tools for assessing the validity and novelty of these ideas, proving especially valuable when domain experts are unavailable.

Bio: Eve Psalti is 20-year year tech and business leader, currently the Senior Director at Microsoft’s Azure AI engineering organization responsible for scaling and commercializing artificial intelligence solutions. She was previously the Head of Strategic Platforms at Google Cloud where she worked with F500 companies helping them grow their businesses through digital transformation initiatives.

Prior to Google, Eve held business development, sales and marketing leadership positions at Microsoft and startups across the US and Europe leading 200-people teams and $600M businesses.

A native of Greece, she holds a Master’s degree and several technology and business certifications from London Business School and the University of Washington. Eve currently serves on the board of WE Global Studios, a full-stack startup innovation studio supporting female entrepreneurs.

Title of Talk: Engineering the Future: Harnessing the Power of AI to Drive Business Growth

Abstract: As AI becomes integral to modern software development, developers are uniquely positioned to drive innovation by embedding intelligence into business workflows.

This session dives into the practical aspects of building, customizing, and deploying AI solutions at scale—equipping developers with the tools and techniques to turn models into impact.
We’ll cover:
Applied AI in Business Workflows: How developers can use AI to automate tasks, optimize performance, and integrate real-time insights into apps and services.
Model Catalog Access & Deployment: Exploring pre-built, production-ready models that developers can fine-tune and deploy quickly for common use cases.
Finetuning and Customization: Using Azure AI’s tools to adapt foundation models with domain-specific data for higher accuracy and relevance.
Responsible AI by Design: Implementing fairness, transparency, and governance principles through accessible SDKs and APIs to ensure ethical AI development.
Through real-world examples and live demonstrations, attendees will leave with a clear understanding of how to incorporate Azure AI into their development workflows—from experimentation to production.

Luyuan Fang
(CEO and Founder, Curative AI)

Bio: Dr. Luyuan Fang is CEO and Co-Founder of Curative AI, Inc. where she leads a fast-growing team on a mission to redefine clinical operations and care delivery through AI and data, improving patient outcomes, assisting providers with AI Clinical Decision Support, and delivering AI-First RCM solutions to automate healthcare workflows across the entire patient journey. Focusing on the rapid creation of industry-shaping innovative AI and data products and having secured early strategic customers, under Luyuan’s leadership, Curative AI achieved cash-flow positivity in less than 12 months, with signed customer contracts for $35+M projected 2025 revenues.

Prior to founding Curative AI, Dr. Fang built and led three world-class AI and Data organizations from the ground up, successfully productizing AI, LLMs, and data platforms at massive scale across three verticals: 1) Healthcare, as Chief AI Officer at Change Healthcare (now UnitedHealthcare/Optum Insight); 2) Prescription Drug Market, as Chief AI and Data Officer at Prescryptive Health; and 3) Online Travel Marketplace, as Founder and Head of Expedia Group AI Labs. She has also held senior technical and leadership roles at Microsoft Azure, eBay, Cisco Systems, and AT&T.

Dr. Fang holds a Ph.D. in Computer Science with a focus on AI and Neural Networks. She is the inventor of 10 granted U.S. patents and author of over 100 technical publications. A frequent keynote speaker and conference chair in global AI and networking communities, she also serves on the boards of multiple Healthcare AI startups.

Title of the talk: Ushering in the AI-First Healthcare Era: Reimagining Revenue Cycle Management and Clinical Operations

Abstract: Operational inefficiencies, workforce shortages, and outdated technologies are key contributors to the high cost and low efficiency of the U.S. healthcare system. This talk will focus on how AI is transforming healthcare operations and technology infrastructure to drive greater efficiency, reduce operational costs, and improve patient outcomes.

By adopting an AI-First approach, we are redefining core processes, workflows, automation, and the overall healthcare experience. Our end-to-end AI-powered solutions—leveraging Machine Learning (ML), Large Language Models (LLMs), and Agentic AI—are developed through rigorous scientific and engineering practices. These solutions significantly reduce system complexity, manual workloads, error-prone processes, and resource constraints.

Key applications of our AI-First systems include Revenue Cycle Management (RCM), clinical documentation automation, data tracking and AI-driven analytics for value-based care, and personalized support for diagnosis and treatment. We will illustrate our approach and impact with a real-world use case in clinical operations and RCM for Autism treatment.