Trends in Organic Chemistry 2026 • AI in Organic Chemistry

Date
6 February 2026, 09:30–17:00
Location
University Main Building
Type
Conference
Lecturer
Andrew I. Cooper (Professor, University of Liverpool, UK) • Bartosz A. Grzybowski (Professor, Ulsan National Institute of Science & Technology, South Korea) • Matthew S. Sigman (Professor, University of Utah, USA) • Anna Tomberg (AstraZeneca, Gothenburg, Sweden) • Fernada Duarte (Professor, University of Oxford, UK) • Kjell Jorner (Professor, ETH Zurich, Switzerland) • Samuel Genheden (AstraZeneca, Gothenburg, Sweden)
Web page
https://toc2026.com/
Organiser
Department of Medicinal Chemistry
Contact person
Luke Odell

Welcome to a one-day event that brings together leading researchers and industry professionals to explore how AI and data-driven approaches are transforming synthesis design, reaction prediction and drug discovery. Registration is open with free admission.

TOC 2026

Registration is now open for the Trends in Organic Chemistry 2026 Conference that will highlight Artificial Intelligence in Organic Chemistry, an arena where cutting-edge AI meets the complexity of molecular science.

This event brings together leading researchers, innovators, and industry professionals to explore how machine learning and data-driven approaches are transforming synthesis design, reaction prediction and drug discovery. Don’t miss this opportunity to connect, collaborate, and stay ahead in one of the most rapidly evolving fields in chemistry!

Learn more & Register https://toc2026.com/

Confirmed speakers at TOC2026:

Andrew I. Cooper, Professor
University of Liverpool, UK
AI Assistants and Automated Synthesis

Bartosz A. Grzybowski
Professor, Ulsan National Institute of Science & Technology, South Korea
Chemical discovery in the age of algorithms and robots: Navigating hyperspaces of reactivity

Matthew S. Sigman, Professor
University of Utah, USA
Developing Data Science Tools for Synthetic Chemists

Anna Tomberg
AstraZeneca, Gothenburg, Sweden
AI-Driven Structure Elucidation from Multi-Modal Spectral Data

Fernada Duarte, Associate Professor
University of Oxford, UK
Reaction Modelling in the Age of Automation and ML

Kjell Jorner, Professor
ETH Zurich, Switzerland
Digital solutions to chemical problems in catalysis and molecular design

Samuel Genheden
AstraZeneca, Gothenburg, Sweden
Towards Co-scientists in Drug Discovery and Development

Facts TOC 2026

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