Konstantinos Kagias

Email: kkagias, followed by @mit.edu

Konstantinos is a research scientist in the Synthetic Neurobiology group at MIT. He earned his BSc in Biology from the National and Kapodistrian University of Athens (Greece) and his PhD in Molecular and Cellular Biology from the University of Strasbourg (France). He trained in neuroscience at BRIC institute (Denmark) and at Harvard University. His research focuses on the organization and function of neural networks in C. elegans.  

Publications

The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactions

arXiv | 2023

Gal Haspel (NJIT), Ben Baker (Colby College), Isabel Beets (KU Leuven), Edward S Boyden (MIT), Jeffrey Brown (MIT), George Church (Harvard University), Netta Cohen (University of Leeds), Daniel Colon-Ramos (Yale University), Eva Dyer (Georgia Institute of Technology), Christopher Fang-Yen (Ohio State University), Steven Flavell (MIT), Miriam B Goodman (Stanford University), Anne C Hart (Brown University), Eduardo J Izquierdo (Rose-Hulman Institute of Technology), Konstantinos Kagias (MIT), Shawn Lockery (University of Oregon), Yangning Lu (MIT), Adam Marblestone (Convergent Research), Jordan Matelsky (University of Pennsylvania), Brett Mensh (Optimize Science), Talmo D Pereira (Salk Institute), Hanspeter Pfister (Harvard University), Kanaka Rajan (Harvard Medical School), Horacio G Rotstein (NJIT), Monika Scholz (Max Planck Institute for Neurobiology of Behavior), Joshua W. Shaevitz (Princeton University), Eli Shlizerman (University of Washington), Quilee Simeon (MIT), Michael A Skuhersky (MIT), Vineet Tiruvadi (Hume AI), Vivek Venkatachalam (Northeastern University), Donglai Wei (Boston College), Brock Wester (Johns Hopkins APL), Guangyu Robert Yang (MIT), Eviatar Yemini (UMass), Manuel Zimmer (University of Vienna), Konrad P Kording (University of Pennsylvania) (2023) The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactions, arXiv:2308.06578 [q-bio.NC].