Teddy Lazebnik
Prof' Teddy Lazebnik is a applied mathematics and computer science researcher with extensive experience leading RnD teams in both the life sciences and financial domains. Over the past decade and a half, Teddy has honed his software development skills, including nine years of experience managing development teams of up to fourteen professionals. Teddy has a proven track record in system architecture, developing production-ready algorithms, and collaborating with clients. His expertise includes bio-physical simulations, big data analysis, and data analysis for information systems. His research is focused on applying advanced mathematics and computer science to the life sciences and socio-economic domains, covering areas such as AI-driven personalized treatment protocols, drug discovery, eXplainable AI, socio-economic systems modeling and simulation, and optimal policy detection from financial data.
Session
Wouldn't it be amazing to know what your cat feels? Is your dog a lover or a fighter? When does a cow’s moo signal sickness? Today, in the age of Artificial Intelligence (AI), these questions are no longer science fiction. The desire to understand animals is as old as humanity itself, with stories of people speaking to animals etched on cave walls. In this talk, we present three studies where machine learning (and deep learning) were used to answer these very questions, taking a bold step toward fulfilling this ancient dream. There will be code and data on-screen so you will be able to try on your own pet.