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Profile Details
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USD 100 /hr
Hire Julien H.
Brazil
USD 100 /hr

Computational chemist driving AI projects for Drug Discovery

Profile Summary
Subject Matter Expertise
Services
Writing Technical Writing
Research Scientific and Technical Research
Consulting Scientific and Technical Consulting
Data & AI Predictive Modeling, Algorithm Design-ML
Work Experience

Computational Chemistry Expert

Idorsia Pharmaceuticals Ltd. (Basel-CH)

January 2020 - March 2025

Computational Chemistry Specialist

Idorsia Pharmaceuticals Ltd. (Basel-CH)

January 2013 - January 2020

Education

Ph.D.

Johannes-Gutenberg Universität Mainz - Germany

April 2021 - January 2025

Masters (Science)

Université Louis Pasteur (Strasbourg I) - France

January 2007 - December 2008

Certifications
  • Certification details not provided.
Publications
JOURNAL ARTICLE
Julien Hazemann, Andreas Tosstorff, Markus G. Rudolph, Jörg Benz, Bernd Kuhn, Christian Kramer, May Sharpe, Chia‐Ying Huang, Alexander Metz, Daniel Ritz, et al. (2025). The CASP 16 Experimental Protein–Ligand Datasets . Proteins: Structure, Function, and Bioinformatics.
Julien Hazemann, François Le Goff, Lukas Christen, Geoffroy Bourquin, Gabin Pierlot, Roland Lange, Philippe Panchaud, Cornelia Zumbrunn, Oliver Peter, Georg Rueedi, et al. (2025). Measurement and prediction of small molecule retention by Gram-negative bacteria based on a large-scale LC/MS screen . Scientific Reports.
Julien Hazemann, Thierry Kimmerlin, Aengus Mac Sweeney, Geoffroy Bourquin, Roland Lange, Daniel Ritz, Sylvia Richard-Bildstein, Sylvain Regeon, Paul Czodrowski (2025). Accelerating the Hit-To-Lead Optimization of a SARS-CoV-2 Mpro Inhibitor Series by Combining High-Throughput Medicinal Chemistry and Computational Simulations . Journal of Medicinal Chemistry.
Julien Hazemann, Chia-Ying Huang, Alexander Metz, Roland Lange, Nadia Artico, Céline Potot, Manon Müller, Marina Dos Santos, Alain Chambovey, Daniel Ritz, et al. (2024). Fragment-based screening targeting an open form of the SARS-CoV-2 main protease binding pocket . Acta Crystallographica Section D Structural Biology.
Julien Hazemann, Thierry Kimmerlin, Roland Lange, Aengus Mac Sweeney, Geoffroy Bourquin, Daniel Ritz, Paul Czodrowski (2024). Identification of SARS-CoV-2 Mpro inhibitors through deep reinforcement learning for de novo drug design and computational chemistry approaches . RSC Medicinal Chemistry.
Julien Hazemann, Christoph Boss, Thierry Kimmerlin, Modest Von Korff, Urs Lüthi, Oliver Peter, Thomas Sander, Romain Siegrist (2017). The Screening Compound Collection: A Key Asset for Drug Discovery . CHIMIA.