Daniel Gatica-Perez

Adjunct Professor

daniel.gatica-perez@epfl.ch +41 21 693 19 51

EPFL STI IEM LIDIAP
ELD 241 (Bâtiment ELD)
Station 11
1015 Lausanne

+41 21 693 19 51
EPFL > STI > IEM > LIDIAP

Web site:  Web site:  https://idiap.epfl.ch/

EPFL > VPA-AVP-E > AVP-E > AVP-E-CDS

Web site:  Web site:  https://epflch.sharepoint.com/sites/CDS

EPFL CDH SODH-GE
INF 136 (Bâtiment INF)
Station 14
1015 Lausanne

+41 21 693 19 51
Office:  INN 138
EPFL > CDH > DHI > DHI-GE

EPFL CDH SODH-GE
INN 138 (Bâtiment INN)
Station 14
1015 Lausanne

+41 21 693 19 51
Office:  INN 138
EPFL > CDH > CDH-SODH > SODH-GE

+41 21 693 19 51
EPFL > CDH > CDH-SODH > SODH-ENS

+41 21 693 19 51
EPFL > CDH > DHI > SCI-CDH-DGP

+41 21 693 19 51
EPFL > VPA-AVP-DLE > AVP-DLE-EDOC > EDDH-GE

Web site:  Web site:  https://go.epfl.ch/phd-eddh

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Teaching & PhD

Courses

Computational Social Media

The course integrates concepts from media studies, machine learning, multimedia, and network science to characterize social practices and analyze content in platforms like Twitter/X, Instagram, YouTube, and TikTok. Students will learn computational methods to understand phenomena in social media.