Philippe Schwaller

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

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

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

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

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

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Administrative data

Teaching & PhD

Teaching

Chemistry and Chemical Engineering

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.

Introduction to the ChemInfo ELN of ISIC

(Coursebook not yet approved by the section)

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.

Lecture series on scientific machine learning

This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the very scientific method.