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
Office:  INF 136
EPFL > STI > IEM > LIDIAP

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

EPFL AVP-PGE EDEE-ENS
ELB 112 (Bâtiment ELB)
Station 11
CH-1015 Lausanne

+41 21 693 19 51
Office:  ELB 112
EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > EDEE-ENS

EPFL AVP-E CDS
RLC D1 740 (Rolex Learning Center)
Station 20
CH-1015 Lausanne

+41 21 693 19 51
Office:  BP 1133
EPFL > VPA > VPA-AVP-E > AVP-E > AVP-E-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

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

+41 21 693 19 51
Office:  INN 136
EPFL > CDH > CDH-SODH > SODH-ENS

EPFL CHD-CD
BC 170 (Bâtiment BC)
Station 14
CH-1015 Lausanne

+41 21 693 19 51
Office:  BC 170
EPFL > VPA > VPA-AVP-CP > CHD > CHD-CD

EPFL Digital Humanities Association (dhelta)
EPFL CDH DHI-GE
INN 139 (Bâtiment INN)
Station 14
CH-1015 Lausanne

+41 21 693 19 51
EHE > 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

Coman Andrei Catalin, Fehr Fabio James, Johari Seyed Mohammad Mahdi, Mai Jan Frederik Jonas Florian, Marfurt Andreas Thomas, Meegahapola Lakmal Buddika, Mostaani Zohreh, Sajadmanesh Sina, Shetty Suhan Narayana,

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 , Pidoux Jessica Carolina , Roman Rangel Edgar , Sanchez Cortes Dairazalia , Santani Darshan , Smith Kevin , Tornay Sandrine , Zhang Dong ,

Courses

Computational Social Media

  The course will present a human-centered view of computational social media. It uses a multidisciplinary approach and integrates concepts from media studies, multimedia information systems, machine learning, and network science to present the socio-technical fundamentals needed to understand user motivations and behavior, and analyze content in platforms like Twitter, Facebook, Instagr