Following a successful academic career in String Theory, including a stint at CERN and the CEA, I took a sabbatical to join Lore Ai (www.lore.ai). Lore Ai help's organizations automate and optimize document processes, such as contract review or investment research, using machine learning. Lore's product, Salient, rapidly extracts critical information from contracts, invoices, prospectuses, CVs and other documents, helping automate expensive business processes and improve operational efficiency while also providing greater agility and insight. Salient includes specialized modules for Contract Lifecycle Management and for Investment Research and Analysis. To learn more about these contact me or check out the case studies and demos on our website (https://www.lore.ai/resources/).My background combines strong academic credentials (PhD from strongest European string group, prestigious grants & awards, highly cited papers) with almost 20 years of software development experience, both in industry and academia. This includes lead roles developing and deploying enterprise software in mission critical settings as well as large scale numerical work. In my academic career, I engaged in highly visible and influential research in both String Theory and Critical Phenomena at the most pre-eminent European research institutes (CERN, CEA and Amsterdam). In recent years my interests have veered towards machine learning and artificial intelligence.