Semyon Malamud

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semyon.malamud@epfl.ch +41 21 693 01 37

Birth date: 12.05.1980

EPFL CDM SFI SFI-SM
EXTRA 213 (Extranef UNIL)
Quartier UNIL-Dorigny
1015 Lausanne

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Office:  EXTRA 213
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Administrative data

Teaching & PhD

Teaching

Financial engineering

PhD Students

Matera Giuseppe, Schwab Johannes,

Past EPFL PhD Students

Blatt Julien Arsène , Hapnes Erik , Kuznetsov Boris , Petrov Evgeny , Praz Rémy , Xu Teng Andrea , Zhang Yuan ,

Courses

Machine learning in finance

This course aims to give an introduction to the application of machine learning to finance, focusing on the problems of portfolio optimization, return prediction, and textual analysis. A particular focus will be on deep learning and the practical details of applying deep learning models to finance.

Big Data and Machine Learning for Financial Economics

(Coursebook not yet approved by the section)