Connecting Wharton alumni, entrepreneurs, investors, and researchers around real-world AI since 2020.
The Wharton Alumni AI Studio (WAAIS) began in 2020, in collaboration with the Wharton Club of the United Kingdom, to strengthen the connections between business professionals, domain experts, and researchers in artificial intelligence — starting with a series of AI-focused events.
In 2023 we launched the Wharton AI Studio Expert Network, a community of professionals who share an interest in the deep-tech ecosystem.
Our purpose is to help Wharton alumni turn their business expertise into something valuable in the world of AI: launching new projects and startups alongside AI professionals and student founders, taking part in AI Studio think tanks, and exchanging on how the knowledge of Wharton alumni can move the deep-tech field forward.
Our discussions span fintech, supply chain, marketing, and product design, and we have developed domain-specific approaches to applied AI. Collaborative ventures have been supported through government grants and the Wharton Alumni Angels.
AI Studio wants to go a step further — bringing tech experts, industry professionals, investors, entrepreneurs, and future leaders closer together to exchange knowledge, capabilities, skills, and ideas about how to disrupt today's business models. We want to be a driving force of change, and we believe we can do that by deepening the connections between like-minded alumni.
WAAIS was founded by George Gvishiani, founder of the Wharton Alumni AI Studio and co-founder of the Wharton AI Studio Expert Network.
Senior Applied Machine Learning Engineer with 10+ years building production AI systems across computer vision, NLP, recommendation systems, and multi-agent LLM architectures. Currently co-founding an AI startup (Microsoft for Startups accelerator) focused on agentic LLM orchestration using LangGraph, LangChain, and CrewAI. Previously built and led AI ventures delivering real-world systems in medical diagnosis, legal tech, fintech, and edtech — from CNN-based object detection pipelines (Faster R-CNN, YOLO, Mask R-CNN) to sequence models with attention mechanisms and reinforcement learning. Background in investment banking (Wharton MBA) and law provides the ability to work across technical and business teams, navigate regulated environments, and translate complex ML capabilities into practical products. Founder of the Wharton Alumni AI Studio, developing domain-specific prompts and collaborating with student startups on applied AI projects.
Senior international leader with extensive experience in business transformation and innovation, sales, marketing, and communications. Her work spans strategy and business design, intrapreneurship and entrepreneurship, go-to-market and new business, partnerships, product and category management, CRM, analytics and research, and digital transformation — drawing on design thinking, Lean, visual thinking, and business-model design. She has worked with organisations from startups to CAC 40 companies, across government and public sector, higher education and EdTech, luxury and creative, smart mobility and travel, consulting, fintech, insurance and financial services, real estate, energy, technology, and FMCG. At the Wharton Alumni AI Studio she is Co-Founder and Head of Marketing and Social Media.
If you'd like to be part of what we're building, we'd love to hear from you.
