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SUMMARY:Inaugural Lectures | Gioele La Manno and Martin Schrimpf
DTSTART:20231121T171500
DTEND:20231121T200000
DTSTAMP:20260428T060646Z
UID:265c099cd8761f3c9b81c9f9850643e6d7c9f5ffc108e2de7b60a448
CATEGORIES:Inaugural lectures - Honorary Lecture
DESCRIPTION:Gioele La Manno and  Martin Schrimpf\nProgram:\n\n	17:15 - 17
 :25 Welcome by Prof Andy Oates\, Dean SV and introduction by Prof Brian Mc
 Cabe\, Director BMI\n	17:25 - 17:55 Prof Gioele La Manno\n	18:00 - 18:10 I
 ntroduction by Prof Rüdiger Urbanke\, Dean IC\n	18:10 - 18:40 Prof Martin
  Schrimpf\n	18:40 - 18:45 Closure by Prof Stéphanie Lacour\, Director INX
 \n	18:45 Apéritif\n\nLocation: SV 1717\nRegistration by November 15\n\nGi
 oele La Manno - Unveiling the Architecture of the Developing Brain: Molecu
 lar Maps and Methodological Advances\n\nAbstract: More than a century ago\
 , Ramón y Cajal began exploring the complexity of the brain\, armed only 
 with a microscope and a pen. Today\, technological advancements give us ac
 cess to an unparalleled level of detail: we are able to read out the molec
 ular composition of single cells. Utilizing single-cell and spatial techni
 ques\, my laboratory has contributed to cataloging the brain's fundamental
  components. We have produced a comprehensive map that chronicles neural d
 evelopment from the earliest stages to birth. To better understand the pro
 cess\, we developed computational methods revealing changes in space and t
 ime. Our new techniques let us extend our explorations to other important 
 molecular players in development. Going forward\, we aim to discover inter
 actions between genes and lipids that are important for correct brain form
 ation and could be exploited to alleviate neurodevelopmental conditions.\n
 \nBio: Gioele La Manno\, is a computational and developmental neurobiologi
 st who leads the EPFL Laboratory of Brain Development and Biological Dat
 a Science. His training is in Biotechnology and Biomedicine\, he earned h
 is PhD with Sten Linnarsson at the Karolinska Institute. He is known for
  categorizing the progenitor cells in the brain and for the invention
  of the RNA Velocity Analysis. He recently made advances in the fiel
 d of lipidomics and co-discovered lipid-based states. Currently\, his
  lab focuses on the role of gene-lipids interactions in brain formation a
 nd teratogenesis. His work earned him the Vasco Sanz\, EMPIRIS\, SIB\, a
 nd Chorafas awards and the appointment as the first ELISIR scholar.\n\nM
 artin Schrimpf - Vision and Language in Brains and Machines\n\nAbstract: W
 hile modern machine learning originated from the study of the brain and mi
 nd\, it has long departed from focusing on the human implementation to int
 elligence. Today's AI models are thus argued by many to be inconsistent wi
 th biology. However\, empirical evidence suggests that the latest models c
 onverge to surprisingly brain-like solutions. Specifically\, across a batt
 ery of neural and behavioral data\, we find that the models that perform b
 est at solving ecological tasks -- such as visual object categorization an
 d next-word prediction -- are also the models that best align with natural
  intelligence. We are further closing the gap to biology with neuroanatomi
 cal models that generalize as well as humans. With these models\, we can g
 uide experiments: they generate visual or linguistic inputs that predictab
 ly control neural activity\, and predict the behavioral effects of neural 
 interventions. Taken together\, I will argue that we can understand the hu
 man brain and mind in engineering terms.\n\nBio: Martin Schrimpf is an ass
 istant professor at the EPFL Neuro-X institute\, with appointments in the 
 School of Computer and Communication Sciences and the School of Life Scien
 ces. His research focuses on a computational understanding of brain-like i
 ntelligence. Following degrees from TUM\, LMU and UNA\, Martin worked at S
 iemens\, Salesforce\, and Harvard before completing his PhD at MIT. He co-
 founded Integreat which is now helping newcomers in every sixth city in Ge
 rmany. His work has been featured in Science Magazine\, MIT News\, and Sci
 entific American. He has been awarded the Neuro-Irv Open Science Prize\, t
 he Walle Nauta Award for Continuing Dedication in Teaching\, and the Taked
 a fellowship in AI + Health.\n\n\n\n\n 
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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