Philippe Schwaller

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philippe.schwaller@epfl.ch +41 21 693 20 56 https://schwallergroup.github.io

EPFL SB ISIC LIAC
CH J2 492 (Bâtiment CH)
Station 6
1015 Lausanne

+41 21 693 20 56
Office:  CH J2 492
EPFL > SB > ISIC > LIAC

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

EPFL SB ISIC-GE
CH j2 492 (Bâtiment CH)
Station 6
1015 Lausanne

+41 21 693 20 56
Office:  CH J2 492
EPFL > SB > SB-SCGC > SCGC-ENS

Web site:  Web site:  https://www.epfl.ch/schools/sb/scgc/

EPFL SB ISIC-GE
CH j2 492 (Bâtiment CH)
Station 6
1015 Lausanne

+41 21 693 20 56
Office:  CH J2 492
EPFL > VPA-AVP-PGE > AVP-PGE-EDOC > EDCH-ENS

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Administrative data

Teaching & PhD

Teaching

Chemistry and Chemical Engineering

PhD Students

Agostini Sandro, Armstrong Daniel Paul, Chen Junwu, Guo Jeff, Kopf Sarina Nicole, Marulanda Bran Andres Camilo, Neeser Rebecca Manuela, Neukomm Théo Alain, Raffaud Sacha Mark Yann, Rankovic Bojana, Sabanza Gil Víctor, Schilter Oliver Tobias, Sin Wing Pong, Valverde Das Neves Paulo Filipe,

Courses

Practical programming in Chemistry

This course offers a comprehensive, practical introduction to computer programming tailored for chemists and chemical engineers. Python is the main language used throughout the course.

AI for chemistry

The AI for Chemistry course will focus on teaching students how to use machine learning algorithms and techniques to analyze and make predictions about chemical data. The course will cover topics such as the basics of machine learning, common algorithms and their applications in chemistry.

AI in chemistry and beyond:Highlights in the field

Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential of these methods and their applications

AI in chemistry and beyond: Trends in the field

Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential of these methods and their applications.

AI in chemistry and beyond: Success stories

Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential of these methods and their applications.

Lecture series on scientific machine learning