Daniel Gatica-Perez

Adjunct Professor

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

EPFL STI IEL LIDIAP
ELD 230 (Bâtiment ELD)
Station 14
CH-1015 Lausanne

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

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

+41 21 693 19 51
EPFL > E > E-DOC > EDEE-ENS

+41 21 693 19 51
EPFL > E > E-EBM > CDS

Web site: Web site: https://dms.epfl.ch/DOCS/E/CDS

EPFL CDH DHI-GE
INN 138 (Bâtiment INN)
Station 14
CH-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
CH-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 > ENT-R > CHD > CHD-CD

+41 21 693 19 51
EPFL > ASSOCIATIONS > ETUD-EPFL > DHELTA

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Administrative data

Teaching & PhD

Teaching

Digital Humanities

PhD Programs

Doctoral Program in Electrical Engineering

Doctoral Program Digital Humanities

PhD Students

Mai Jan Frederik Jonas Florian, Marfurt Andreas Thomas, Meegahapola Lakmal Buddika, Mostaani Zohreh, Pidoux Jessica Carolina, Sajadmanesh Sina, Shetty Suhan Narayana, Tornay Sandrine,

Past EPFL PhD Students

Biel Tres Joan Isaac , Can Gülcan , Farrahi Katayoun , Jayagopi Dinesh Babu , Monay Michaud Florent , Muralidhar Skanda , Negoescu Radu Andrei , Nguyen Laurent Son , Parthasarathi Sree Hari Krishnan , Phan Thanh Trung , Roman Rangel Edgar , Sanchez Cortes Dairazalia , Santani Darshan , Smith Kevin , Zhang Dong ,

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 sites like Facebook, Twitter and YouTube. Students will learn computational methods to infer individual and networked phenomena in social media.