Volodymyr Kuleshov is an Assistant Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in the Computer Science Department at Cornell University. He obtained his bachelor’s degree in mathematics and computer science from McGill University and his PhD in Computer Science from Stanford University, where he was the recipient of the Arthur Samuel Best Thesis Award.

Kuleshov’s research interests are machine learning and its applications in scientific discovery, health, and sustainability. His work has been featured in Nature Biotechnology, Nature Medicine, Nature Communications, and Scientific American, and he was awarded an NSERC Post-Graduate Fellowship and a Stanford Graduate Fellowship.

He is the co-founder and Chief Technologist at Afresh, a startup focused on automating the food supply chain using AI to reduce food waste.

Lauren Romeo is the Chief Data Officer at AXA Madrid International Hub (AMIH). She has over a decade of experience in the delivery of high impact data-driven solutions that solve real-world business challenges and shaping strategy to operationalize AI solutions.

Lauren was also an active player in the startup ecosystem, where she oversaw and contributed to the research and development of core AI products. She has a proven-track record in data science and analytics with a PhD in Computational Linguistics and a MSc in Cognitive systems and Interactive Media.

Liam co-leads Powder’s AI team. He is in charge of researching and designing the machine learning infrastructure that enables us to automatically source and understand great video content from all gaming platforms. Pivoting off his prior work experience in econometrics, Liam graduated with an MSc in AI from the University of Amsterdam in 2017.

Since then, Liam has focused almost exclusively on applying cutting edge deep learning and computer vision research to real-world problems. While at Powder, Liam has published two papers in the field of emotion recognition. His current focus is on self-supervised learning, and in applying recent advances in the sub-field to improve Powder’s video understanding technology.

Henri graduated from Centrale Engineering school a few years ago where he specialized in Deep Learning and statistical modeling.

Later on Henri did some research in Deep Learning applied to 3D, first of all in Dynamixyz where he used AI to denoise and generate facial animation and then in Dassault Systems to generate 3D structures from images or drawings of them.

Being passionate about 3D and gaming, he then realized with his co-founder Yassine Tahi that the recent breakthroughs in deep learning could help all the 3D creators to use character animation in their universes.