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AI, ML, Drug Discovery Scientist
Passionate about combating challenging diseases, my focus lies in inventing novel medicines through cutting-edge AI and ML techniques. With a Ph.D. in Computational Chemistry, I bring years of scientific leadership experience, including roles as Director at AstraZeneca, where I led cross-disciplinary project teams to bridge the gap between wet-lab experimenters and IT personnel. I have many years of experience as a scientific supervisor and mentoring younger scientists. I have made significant contributions to the field through the development and publication of novel methods, pioneering the application of deep learning generative AI to de novo drug design. My expertise extends to retro-synthesis planning and reaction informatics, employing advanced deep learning models alongside traditional programmed approaches. My extensive programming experience, particularly in Python and deep learning frameworks like TensorFlow and PyTorch, enables me to effectively develop AI solutions and novel algorithms. Having worked in both industry and academia, as well as consulting, I understand and engage partners from varied backgrounds effectively. Several international experiences further enable my international perspective and enable me to collaborate with people from multiple cultures and backgrounds. With a history of publications in high-impact international peer-reviewed journals and numerous presentations at prestigious conferences, I am recognized as an authority in the field. My excellent communication skills enable me to convey complex scientific concepts effectively. My engagement with the open-source community and science blogging at Cheminformania further amplifies my visibility and reputation. Driven by the desire to enhance drug discovery through cutting-edge AI and ML techniques, I am poised to make meaningful contributions to the forefront of innovation in drug d
University of Oxford
Structural Bioinformatics and Computational Biochemistry Unit, Department of Biophysics
January 1, 2006 – January 1, 2006
The Danish University of Pharmaceutical Sciences
Ph.D Pharm., Computational Chemistry
January 1, 2004 – January 1, 2008
Department of Medical Pharmacology, Leiden/Amsterdam Center for Drug Research. Netherlands
Scholarship student, Medical Pharmacology
January 1, 2001 – January 1, 2001
The Danish University of Pharmaceutical Sciences
Master, Pharmaceutical Sciences
January 1, 1997 – January 1, 2003
AbbVie
Principal Research Scientist II, AI / ML Team Lead
August 1, 2025 – Present
Ludwigshafen, Rhineland-Palatinate, Germany · Hybrid
www.cheminformania.com
Principal Consultant, Founder
June 1, 2024 – August 1, 2025
Västra Götaland County, Sweden · Remote
Odyssey Therapeutics
Principal Scientist
March 1, 2022 – May 1, 2024
London, England, United Kingdom · Remote
AstraZeneca
Principal Scientist, Director Deep Chemistry
November 1, 2020 – March 1, 2022
AstraZeneca
Principal Scientist - Molecular AI
November 1, 2018 – November 1, 2020
University of Copenhagen
PostDoc - Chemometrics Data Science and Spectroscopical Machine Learning
June 1, 2014 – April 1, 2015
Spectroscopy and Chemometrics, Department of Food Science
Lundbeck
Computational Chemistry Intern - Visualizing Machine Learning Models
October 1, 2013 – December 1, 2013
Copenhagen Metropolitan Area
University of Copenhagen and University of Southern Denmark
Appointed external examiner for Pharmaceutical educations
August 1, 2013 – December 1, 2021
LEO Pharma
Chemical Research Intern - Molecular Data Science
May 1, 2013 – June 1, 2013
Denmark
Nuevolution
Computational Chemist Intern - Drug Discovery
April 1, 2013 – April 1, 2013
University of Copenhagen
PostDoc - Protein NMR Spectrocopy
August 1, 2011 – December 1, 2012
Department of Biology, SBiNLab
Copenhagen University, Department of Biology
Scientific Assistant - Protein Chemistry
October 1, 2010 – June 1, 2011
SBiNLab
Wildcard Pharmaceutical Consulting
CEO, Molecular Data Scientist and Machine Learning Contractor, Drug Discovery Scientist
May 1, 2010 – November 1, 2018
International
LEO Pharma
Drug Discovery IT specialist
May 1, 2008 – June 1, 2010
University of Copenhagen
PostDoc - Chemical Analysis and Method Development
January 1, 2008 – March 1, 2008
Cultural Fit Analysis
The candidate's extensive academic background and diverse industry experience (AbbVie, Odyssey Therapeutics, AstraZeneca, LEO Pharma, Lundbeck) in pharmaceutical and biotech sectors align well with a research-intensive, innovative culture. Their involvement in open-source projects and mentorship roles suggests a collaborative and knowledge-sharing mindset. The long tenure in various roles, including leadership positions, indicates stability and commitment. However, the lack of specific project details beyond high-level descriptions makes it difficult to fully assess cultural alignment with specific team dynamics or agile methodologies.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship capabilities through roles as AI/ML Team Lead, Principal Consultant, and Principal Scientist. Experience in project management, strategic planning, and stakeholder engagement indicates strong operational fit. The founding of a consulting firm and an open-source project highlights initiative and collaborative spirit. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.