Divya Mandalaywala

Divya Mandalaywala

Intern

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  • Timeline

  • About me

    Bioinformatics Analyst

  • Education

    • Govt. Dental College and Hospital, ahmedabad

      2016 - 2021
      Bachelor's degree Dentistry
    • NYU Grossman School of Medicine

      2022 - 2023
      Masters Biomedical Informatics
  • Experience

    • Govt dental college and hospital, Ahmedabad

      Oct 2020 - Mar 2022
      Intern
    • Clear Insights BioConsulting

      Jan 2022 - Jun 2022
      Analyst

      ~ Worked proactively with biologists to define analysis questions, interpret results, and prioritize the hypothesis.~ Built clinical informatics infrastructure for data management, data integration, and data visualization.~ Assisted senior consultants in developing a research plan and initiating a new translational biomarker study Performed detailed analysis of key trends and findings, summarized, and presented findings to managers.~ Contributed to external collaborations relevant to drug discovery.~ Categorized large datasets to organize data according to ongoing clinical trials. Show less

    • NYU Langone Health

      Sept 2022 - May 2023
      Graduate Researcher

      ~ Performed data quality control and validation, creating new algorithms for cytology-on-a-chip assay aiding in the diagnosis of oral potentially malignant lesions.~ Analyzed cell-morphological data by using statistical tools and inter-correlation tests in Python and R~ Used biostatistics and bioinformatics algorithms to integrate multiple levels of biological information with functional genomic data, for hypothesis generation, target identification, and prioritization.~ Kept up to date on new computational methodologies and incorporate them into internal pipelines. Show less

    • Kronos Bio

      Jun 2023 - Sept 2023
      Intern, Computational Biology

      ~ Executed comprehensive exploratory data analysis, unearthing gene expression patterns and genetic variations pertinent to ovarian cancer.~ Characterized distinct ovarian cancer subtypes by leveraging gene signatures and PAX8 expression, enhancing the understanding of disease heterogeneity.~ Conducted a detailed investigation of highly mutated and amplified genes in ovarian cancer, enhancing our understanding of disease pathogenesis and progression.~ Performed survival analysis on these key genes, providing significant insights into prognosis and potential therapeutic interventions. Show less

    • Weill Cornell Medicine

      Sept 2023 - now
      Bioinformatics Analyst
  • Licenses & Certifications

    • Bioinformatics Data Science with R and MySQL

      DE<code> LIFE
    • Introduction to Statistics

      Coursera
      View certificate certificate
    • Programming for Everybody (Getting Started with Python)

      Coursera
      View certificate certificate
    • Epigenomics and Immunoinformatics

      DE<code> LIFE
      Mar 2023