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Introduction

The second edition of the "Cheminformatics, Automation and Machine Learning in Chemistry: from fundamental concepts to emerging techniques" (or CAMLC for short) micro-credential aims to introduce attendees to the use and development of emerging digital technologies in chemistry. Initially, attendees will review various functions of Python, particularly those related to modules commonly used in cheminformatics. Once users are familiar with Python environments and Jupyter Notebooks, machine learning and data science will be introduced, with a focus on state-of-the-art implementations in the field of chemistry.

Deadlines

• Feb 28 2025
  Standard registration deadline

  

Useful links

Speakers

• Juan V. Alegre Requena ISQCH-CSIC, Spain
• Robert Paton Colorado State University, United States
• Heidi Klem NIST, United States
• Ruben Laplaza EPFL, Switzerland
• David Dalmau ISQCH-CSIC, Spain
• Iñigo Iribarren Technical University of Munich, Germany
• Thijs Stuyver PSL University, France
• Connor Coley MIT, United States
• Abby Doyle UCLA, United States
• Matt Sigman University of Utah, United States
• Anat Milo Ben-Gurion University, Israel
• Guilian Luchini Bristol Myers Squibb, United States
• Jamie Cadge University of Utah, United States
• Lucia Moran University of Oslo, Norway

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Sponsorship & supporting organisations

Sponsors

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Sponsors

Digital Discovery (RSC)

Venue

CSIC Delegation in Aragon

CSIC Delegation in Aragon, Pl. de Emilio Alfaro, 2-3, Zaragoza, 50003, Spain

Useful links

Organised by

Director and secretary

Contact information

CAMLC organizers
Contact us by email

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