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Speaker

Moiz Khan Sherwani

Moiz Khan Sherwani

University of Copenhagen, Post Doc Researcher

Copenhagen, Denmark

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I did my Doctorate in the field computer vision for medical images. I have been working with images and textual data within medical domain. Currently, I have been involved in several projects related to bioinformatics, ML and multi-omics in veterinary science and evolutionary hologenomics. Apart from the main projects, I am working with other computer vision projects related to medical, infrastructure and other smaller projects. My future projects will include multi-modal models within health science.

Area of Expertise

  • Health & Medical
  • Information & Communications Technology
  • Real Estate & Architecture

Topics

  • Multi-omics
  • Machine Learning & AI
  • Deep Learning
  • GNN
  • graph learning
  • medical imaging
  • Infectious Diseases

Machine Learning and Multi-Omics

Our application for Data Maker Fest explores the cutting-edge intersection of machine learning and multi-omics. Using advanced algorithms, we are deciphering complex biological data across multiple omics layers. Through multi-omics, our approach reveals hidden patterns, enabling breakthrough insights into human health and disease mechanisms. Our mission is to revolutionize the field of biotechnology through data-driven discovery. I will also present the challenges of data collection and processing before using it in ML algorithms.

Moiz Khan Sherwani

University of Copenhagen, Post Doc Researcher

Copenhagen, Denmark

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