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SUMMARY:EPFL BioE Talks SERIES  "Protein Language Models for Protein Scien
 ce\, Design and Engineering: An Overview and Outlook"
DTSTART:20230417T160000
DTEND:20230417T170000
DTSTAMP:20260510T031411Z
UID:981ae5468d04cccfd75fc1a1eb114012de1511c341f4a30ccdfb08d6
CATEGORIES:Conferences - Seminars
DESCRIPTION:Christian Dallago\, Ph.D.\, Technical University Munich (TUM) 
 & NVIDIA\, Munich (DE)\nWEEKLY EPFL BIOE TALKS SERIES\n\nAbstract:\nBiolog
 y has recently seen incredible advances supported by methods from Deep Lea
 rning. In particular\, protein science and engineering has benefitted both
  from advances in downstream deep learning models\, predicting aspects of 
 protein structure and function\, and foundational models often based on th
 e Transformer architecture\, providing new ways to encode protein informat
 ion in computational form. The staggering advances in accurate Deep Learni
 ng methods for protein science have led to a sprouting of new ways in whic
 h Deep Learning can be used to predict and design proteins. This talk will
  examine the principles that led to foundational models for protein scienc
 e\, the validation of these models through predictions of function and str
 ucture\, and venues for their application in protein engineering and desig
 n accompanied by practical examples.\n\nBio:\nEducation:\nPhD in Informati
 cs\, Technical University\, Munich (TUM)\, Munich\, DE\nMSc in Informatics
 \, TUM\, Munich\, DE\nBSc in Computer Science and Engineering\, UniBZ\, Bo
 lzano\, IT.\n\nCurrent positions:\nResearch scientist\, TUM\, Munich\, DE\
 nand\nSenior Solution Architect\, NVIDIA\, Munich\, DE\n\n\n\nZoom link (w
 ith one-time registration for the whole series) for attending remotely: ht
 tps://go.epfl.ch/EPFLBioETalks\n\n\nInstructions for 1st-year Ph.D. studen
 ts who are under EDBB’s mandatory seminar attendance rule:\nIF you are n
 ot attending in-person in the room\, please make sure to\n\n	send D. Reinh
 ard a note before noon on seminar day\, informing that you plan to attend 
 the talk online\, and\n	be signed in on Zoom with a recognizable user name
  (not a pseudonym making it difficult or impossible to be identified).\n\n
 Students attending the seminar in-person should collect a confirmation sig
 nature after the talk - please print your own signature sheet beforehand (
 71 kB pdf available for download here).\n 
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717 https://go.epfl.ch/
 EPFLBioETalks
STATUS:CONFIRMED
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