Alper Celik

Data scientist and bioinformatician with a passion for machine learning and data analysis. I enjoy exploring the intersection of biology and technology to uncover insights from complex datasets.

Recent Papers

Projects

  • Benchmate
    Benchmate is a data aggreation tool that allows scientists to aggregate data from multiple sources such as public APIs, literature searches, and other data sources. Benchmate includes tools to represent biological data with different data types such as genomes, sequences, protein structures small molecules and more. Benchmate is currently in development and is available on GitHub. Our ultimate goal is to make data collection, analysis and hypothesis generation more accessible and reproducible.

  • Chirpp
    CHIRPP program is a Canadian program to track trends in child injuries to inform policy and practice. This program has traditionally been done by manual data entry and analysis. We have developped a robust data pipeline with custom trained models to analyze large volumes of data and provide insights to inform policy and practice. Our pipeline is currently in use by the CHIRPP program and can extract large quantities of data in an automated manner from unstructured clinical notes reducing the manual work by >80% and making sure that the data is consistent, accurate and generated in a timely manner.

  • Allergy
    Nut allergies are a common cause of anaphylaxis in children and adults alike. This project is an ongoing project to analyze, understand and predict the causes and molecular underpinnings of nut allergies. This project is in collaboration with the Eiwegger lab at University of Vienna and other collaborators. We have developed robust statistical models to predict the likelihood of nut allergies. Categorized gut responses to allergen stimuli and more. Our current goals include development of oral immunotherapies, understanding cross and co sensitizations, and development of new biomarkers for nut allergies.