Dane Corneil
About Dane Corneil
Dane Corneil is the AI Lead for Target-ID at BenevolentAI in Brooklyn, New York, with a background in computational neuroscience and reinforcement learning.
Title
Dane Corneil is currently the AI Lead for Target-ID at BenevolentAI in Brooklyn, New York, United States.
Professional Experience at BenevolentAI
Dane Corneil has held multiple roles at BenevolentAI, including Lead AI Scientist from 2020 to 2022, Senior AI Scientist / Tech Lead from 2019 to 2020, and AI Scientist from 2018 to 2019. In his current role, he develops algorithms that integrate language models with reinforcement learning for predicting therapeutic targets and focuses on Bayesian inference and knowledge graph inference.
Past Roles and Research
Earlier in his career, Dane Corneil worked as a Research Intern at DeepMind in London for three months in 2016 and as Co-Founder of Ponder in Switzerland from 2014 to 2015. He has also worked as a Doctoral Assistant / PhD Graduate at EPFL from 2013 to 2018, focusing on computational neuroscience and machine learning.
Educational Background
Dane Corneil earned his Doctor of Philosophy - PhD in Computational Neuroscience and Machine Learning from EPFL from 2013 to 2018. He completed his Master of Science in Neural Systems and Computation at the University of Zurich from 2010 to 2012 and holds a Bachelor of Applied Science (Honours) in Systems Design Engineering with a minor in Psychology and a Cognitive Science Option from the University of Waterloo, achieved between 2004 and 2009.
Industry Contributions
Dane Corneil participated in the AI Drug Discovery Summit on August 16, 2022. His work in developing therapeutic target prediction algorithms using advanced AI techniques has supported significant advancements in the field of AI-driven drug discovery. His background in reinforcement learning is evident from his research and professional roles.