Alex Henry

Alex Henry has over a decade of experience in the field of AI and business. Alex began their career in 2007 as an Urban Fellow and Continuity of Operations Planner at the NYC Office of Emergency Management. In 2009, they founded The Skinny and in 2010 they worked as a Scenario Analyst at Argonne National Laboratory. In 2011, they became Principal at NextBridge LLC, a proprietary trading firm operating in the market for Renewable Identification Numbers (RINs). Here, they overhauled the trading strategy, increasing annual profit 37x in the first three years with revenue of $12 million. In 2014, they became Co-Founder of General Semantics and in 2016 they joined Cyndx as Chief AI Officer and Director of AI Research. In this role, they led an AI research team of five to push the cutting edge in transformer-based NLP using their proprietary business website corpus. Alex also leveraged self-supervised website embeddings together with structured data to predict need for capital, summarize websites into readable descriptions, match investors with startups and more. Additionally, they were Senior Engineer and Co-Head of General Semantics. From 2007-2008, they worked with Professor Raymond W. Baker as a Research Assistant, developing a methodological alternative to cultural relativism for interpreting Islamist movements. Alex co-authored a chapter in "Islam in the Eyes of the West" (Routledge 2010).

Alex Henry has a varied educational background. Alex completed a Bachelor of Arts in Philosophy, Politics and Economics (self-designed) from Trinity College-Hartford in 2007. Alex then went on to pursue a Master of Arts in Network Analysis (Social Science) from the University of Chicago in 2009-2010. Finally, they earned a Master of Business Administration (M.B.A.) from Yale School of Management in 2015. In addition to their formal education, Alex Henry has also obtained several certifications from Coursera, including "Sentiment Analysis with Deep Learning using BERT" (2020), "Machine Learning with TensorFlow on Google Cloud Platform Specialization" (2019), "How Google does Machine Learning" (2019), "Deep Learning Specialization" (2018), "Sequence Models" (2018), "Convolutional Neural Networks" (2018), "Structuring Machine Learning Projects" (2018), "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" (2018), "Machine Learning: Classification" (2018), "Neural Networks and Deep Learning" (2017), "Machine Learning: Clustering & Retrieval" (2016), and "Machine Learning" (2016).