Anastasia Sveshnikova

Experience

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  Technische Universität Dresden

  Jan 2017 - Sept 2018

  Student Researcher

  • Analyzed existing drug repositioning cases and provided an outlook on the perspectives of the protein structure-based repositioning

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  EPFL

  Jan 2019 - Jan 2022

  PHD Candidate

  • Managed the EPFL’s part of a biosynthesis pathways prediction work package in the European Shikifactory100 project• Provided key support to Shikifactory100 teams working on early small molecule biosynthesis pathway development, facilitating decisions, and delivering critical project deliverables.• Collaborated with cross-functional teams to perform comprehensive analyses, enabling data-driven decision-making to maximize R&D productivity. Developed web platforms for biochemical route analysis and selection.• Mentored and supervised two bachelor internships, one master and one junior PhD student projects related to cheminformatics application to biotechnology and drug-microbiome interactions• Wrote 5 papers (research and review), assigned parts of research grants, and created and presented posters at local and international conferences demonstrating efficient scientific communication abilities.• Collaborated with start-ups and industry interested in biosynthesis pathway design Weniger anzeigen

• 

  PharmaCamp

  Jan 2023 - Jan 2023

  IT Manager

  • Ensured that the digital infrastructure for the event was robust, up-to-date, and user-friendly.• External communication through the website providing essential information about the event.• Demonstrated strong abilities as a team player in various event management tasks• Used LLM GPT to select 25 participants out of 140 applications that were the best suited to address the proposed pharmaceutical challenges• Chaired the final day of the event

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  SIB Swiss Institute of Bioinformatics

  Feb 2023 - now

  Software Developer

  • Planned, coordinated, and successfully executed projects within a defined scope and timeline, consistently achieving project milestones. Example project: Applying ML (neural networks) to classify biochemical reactions in the Rhea database.• Demonstrated excellent oral communication and presentation skills, effectively conveying complex ideas and proposing innovative solutions to complex problems (poster presentation at the international ISMB conference in Lyon, 2023).• Proactively engaged with leaders across the organization to identify and prioritize focus areas for ongoing projects (several ongoing projects, including enumerating human lipid metabolic reactions for the development of the improved computational models of human metabolism necessary for faster diagnosis and treatment of rare diseases). Weniger anzeigen