Anubha Dey | Computational Biology | Best Researcher Award

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Ms. Anubha Dey | Computational Biology | Best Researcher Award

 PHD, University of Hyderabad India

Anubha Dey is a dedicated Ph.D. researcher at the University of Hyderabad with a strong background in computational biology and machine learning. She has contributed significantly to understanding genetic interactions and cancer research through advanced modeling techniques. With a passion for teaching and mentoring, Anubha aspires to inspire future leaders in scientific innovation.

Professional Profile 

Scopus

Scholar

🎓Education

Ph.D. (Pursuing), University of Hyderabad, 2019-present. Master of Technology, Anna University, 2017-2019. Bachelor of Technology, Maulana Abul Kalam Azad University of Technology, West Bengal

💼Experience

Researcher: Developing machine learning models for cancer biology and genetic interactions. Assistant System Engineer-Trainee, Tata Consultancy Services, 2016-2017. Presented findings at renowned conferences like ICGA and CSHL

🏆Award and Honor

Best Oral Presentation, BioAnveshna 2024. Best Poster Presentation, International Cancer Symposium 2022. Selected for HySci 2024 Oral Talk, IIT Hyderabad. Qualified JEST 2019, a prestigious entrance test

🔬 Research Focus

Machine learning in genetic interaction prediction. Synthetic lethal interactions in cancer. Transcript complexity and RNA splicing. Chromatin loop dynamics and epigenetics

Publications Top Noted

  • Title: Chromatin loop dynamics during cellular differentiation are associated with changes to both anchor and internal regulatory features
    Year: 2023
    Authors: ML Bond, ES Davis, IY Quiroga, A Dey, M Kiran, MI Love, H Won
    Citation: Genome Research 33 (8), 1258-1268

 

  • Title: Inefficient splicing of long non-coding RNAs is associated with higher transcript complexity in human and mouse
    Year: 2023
    Authors: K Basu, A Dey, M Kiran
    Citation: RNA Biology 20 (1), 563-572

 

  • Title: MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction network
    Year: 2024
    Authors: A Dey, S Mudunuri, M Kiran
    Citation: PLOS Computational Biology 20 (8), e1012336

 

  • Title: CaTCH: Calculating transcript complexity of human genes
    Year: 2024
    Authors: K Koushiki Basu, Anubha Dey
    Citation: Methodx