Farzaneh Labbaf

Valorisation Master | Research Internship | Machine Learning Engineer at EPFL School of Life Sciences
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Contact Information
us****@****om
(386) 825-5501
Location
Lausanne Metropolitan Area, CH
Languages
  • English Full professional proficiency
  • French Limited working proficiency

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Credentials

  • Graph Neural Network
    Udemy
    Sep, 2023
    - Nov, 2024

Experience

  • EPFL School of Life Sciences
    • Switzerland
    • Higher Education
    • 1 - 100 Employee
    • Valorisation Master | Research Internship | Machine Learning Engineer
      • Apr 2023 - Present

      Advanced Machine Learning: Developed cutting-edge machine learning techniques to automate yeast microscopy movie analysis, gaining proficiency in deep learning, software development, and data science. Multi-Disciplinary Collaboration: Collaborated in the Laboratory of Physics and Biological Systems (LPBS), effectively communicating across diverse teams to provide tailored solutions for complex challenges. Python GUI Development: Contributed significantly to a Python GUI application, automating yeast cell segmentation, tracking, and lineage tracing. Image Analysis: Applied machine learning and image analysis to enhance segmentation and lineage tracing accuracy in microscopical image time series. Graph Neural Networks: Utilized graph neural networks for precise cell tracking, achieving exceptional results in research contributing to groundbreaking initiatives. Show less

  • EPFL (École polytechnique fédérale de Lausanne)
    • Switzerland
    • Higher Education
    • 700 & Above Employee
    • Master Thesis Project | Computational Biology | Research (EPFL & Sharif University of Technology)
      • Sep 2022 - Feb 2023

      Pioneering Deep Learning Research: Conducted pioneering research in deep learning, leveraging advanced techniques to predict drug synergy for individual cancer cell lines. Notably, improved model accuracy by 4% compared to previous models. Multi-Omics Data Processing: Expertly processed large-scale multi-omics data from cell lines, significantly enhancing data quality and ensuring robust results. Data Visualization Expertise: Leveraged advanced data visualization techniques to extract actionable insights from complex datasets, demonstrating proficiency in data-driven decision-making. Personalized Drug Combinations: Developed personalized drug combination strategies for individual cell lines, showcasing innovation at the intersection of AI and healthcare. Cluster Computing: Utilized cluster computing for efficient machine learning model training and data-intensive tasks, demonstrating strong technical skills in data science and computing. This thesis project reflects my commitment to innovation and passion for applying AI to real-world challenges, while also highlighting my expertise in deep learning, data processing, and cluster computing. Show less

  • Hamravesh
    • Iran
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • React-Native Mobile Developer | Software Engineering | Dynamic Tech Company
      • Nov 2017 - Feb 2019

      React-Native Expertise: Proficient in developing mobile apps with React-Native, showcasing cross-platform development skills. Coding Best Practices: Managed Git version control and enforced coding standards through regular reviews, ensuring product quality. End-to-End Solutions: Collaborated with design and back-end teams for comprehensive IT solutions, integrating APIs for enhanced functionality. Rapid Development & Customization: Developed a fully functional messenger app in two months, demonstrating agility and technical skill. Created customizable ordering and delivery apps for online businesses. Automation & Infrastructure: Implemented VMware cluster creation with Anibis, streamlining complex IT environments. Efficiently managed testing and deployment using GitLab CI/CD. This role allowed me to gain invaluable experience in a variety of technologies and soft skills crucial for a successful career in software engineering, including React-Native, Git, and software engineering principles. Show less

Education

  • Sharif University of Technology
    Master's degree, Bioinformatics
    2020 - 2023
  • Sharif University of Technology
    Bachelor's degree, Computer Engineering
    2015 - 2020

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