基本信息
views: 49
Career Trajectory
Bio
I have more than eighteen years of drug design experience supporting projects across all therapeutic areas from early target identification to late lead optimization, as well as rationalising design implications of clinical data. I have a strong track record in the business integration of data analytics, large-scale multi-task learning AI approaches and cloud environments into a pharmaceutical context and have created, coordinated and delivered various strategic innovation initiatives along such lines with multiple million Euros of budget. This includes, but is not limited to collaborating with many partners, covering academic groups, data analysts, software engineers, medicinal chemists, biologists, and other drug development companies. I have successfully delivered business value to therapeutic area projects using AI and are leading a team of multiple FTE to support our internal drug design project teams as well as driving the strategic AI initiatives. In addition, I am an avid problem solver, am used to working successfully in a fast paced dynamic environment and am a strong believer in diverse teams to reach a business integration and cutting-edge innovation.
Due to a computer science background I am also strategically interested in risk reduction and data analytics. I am an avid problem solver, am used to working successfully in a fast paced dynamic environment and am a strong believer in diverse teams to reach a business integration and cutting-edge innovation.
Additional skills: project coordination, team leader, contract negotiations, structure-based drug design, fragment-based drug design, drug resistance modelling, pro-activity, information management, computer science expertise, high reading affinity, MBTI:ENTJ
Research Interests
Papers共 63 篇Author StatisticsCo-AuthorSimilar Experts
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MOLECULAR PHARMACEUTICSno. 5 (2023): 2436-2442
Nature Machine Intelligenceno. 12 (2021): 1033-1039
Philipp Seidl,Philipp Renz,Natalia Dyubankova, Paulo Augusto Ribeiro Neves,Jonas Verhoeven,Marwin Segler,Jörg K. Wegner,Sepp Hochreiter,Günter Klambauer
arXiv (Cornell University) (2021)
Michael J. Cox,Steffen Jaensch, Jelle Van de Waeter, Laure Cougnaud, Daan Seynaeve, Soulaiman Benalla,Seong Joo Koo,Ilse Van Den Wyngaert,Jean-Marc Neefs, Dmitry Malkov, Mart Bittremieux, Margino Steemans,
Scientific Reports (2020)
semanticscholar(2020)
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