Bio for invited talks

Lance Da Costa is a Machine Learning researcher at VERSES and a visiting postdoc at the ELLIS Institute Tübingen.  He aims to understand intelligence, cognition and the mind, and use this knowledge to advance science, engineering and society. He has authored over 45 papers in the fields of artificial intelligence, mathematical physics and cognitive science. He received the Best Maths PhD thesis prize from Imperial College London, Best Paper awards from Entropy, and excellence awards from the American Physical Society, G-Research, Luxembourg's National Research Fund, and Imperial College London. His work has been featured on Machine Learning Street Talk, the Active Inference Institute and the Singularity project. Lance received his PhD in Mathematics from Imperial College London and Master degrees in Pure Mathematics from Cambridge University and Neuroscience from UCL. More information can be found on his website: lancelotdacosta.com