Negar Kiyavash

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negar.kiyavash@epfl.ch +41 21 693 02 59 https://sites.google.com/site/negarkiyavash/

EPFL CDM MTEI BAN
ODY 1 01.1 (Odyssea)
Station 5
1015 Lausanne

+41 21 693 02 59
+41 21 693 26 23
Office:  ODY 1 01.1
EPFL > CDM > MTEI > BAN

Web site:  Web site:  https://www.epfl.ch/labs/ban/

+41 21 693 02 59
EPFL > CDM > CDM-MTE > MTE-ENS

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EPFL > VPA > VPA-FAC > OSSC

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EPFL > CDM > CDM-DIR > CF-CDM

Web site:  Web site:  https://www.epfl.ch/schools/cdm/

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EPFL > VPA-AVP-DLE > AVP-DLE-EDOC > EDMT-GE

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

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Administrative data

Teaching & PhD

Teaching

Management of Technology

PhD Students

Aboueimehrizi Amir Mohammad, Akbari Sina, Elahi Sepehr, Jamshidi Fateme, Khorasani Mohammadsadegh, Masiha Mohammadsaeed, Shahverdikondori Mohammad,

Past EPFL PhD Students

Kivva Yaroslav , Mokhtarian Ehsan ,

Courses

Causal inference

Students will learn the core concepts and techniques of network analysis with emphasis on causal inference. Theory and application will be balanced, with students working directly with network data throughout the course.

Machine learning methods in econometrics