رغفندرا مال | جامعة حمد بن خليفة
Hamad Bin Khalifa University

أعضاء هيئة التدريس

رغفندرا مال

رغفندرا مال (PhD)


عالم
تحليل البيانات
معهد قطر لبحوث الحوسبة

  • الهاتف+974 44548431
  • موقع المكتبA115,1,B1

السيرة الذاتية

Dr. Raghvendra is an experienced machine learning researcher with expertise in systems biology, structural biology, complex networks, and data sciences, working on multi-omics data integration to understand disease vagaries, identify therapeutic targets, and gain novel biological insights using data-driven techniques. 

Dr. Raghvendra develops bioinformatics tools and methods to leverage the power of big biomedical data to extract meaningful biology. He is a seasoned researcher, with a distinguished publication record of 60+ peer-reviewed articles (1000+ citations, h-index: 19) and an extensive background in machine learning and computational biology. He thrives in a dynamic, interdisciplinary environment, presenting innovative solutions to complex problems in a concise manner to diverse audiences of quantitative, experimental, and clinical scientists.

 


الخبرات

Research Scientist

Qatar Computing Research Institute; Hamad Bin Khalifa University, Qatar

2018 - 2020
  • Postdoctoral Researcher

    Qatar Computing Research Insitute; Hamad Bin Khalifa University, Qatar

    2016 - 2020

المؤهلات العلمية

Doctorate (Summa Cum Laude)

KU Leuven; Leuven, Belgium

2015
  • MS by Research

    IIIT-H; Hyderabad, India

    2011
  • BTech

    IIIT-H; Hyderabad, India

    2010

المؤلفات المختارة

  • A. Elbasir*, R. Mall*, K. Kunji, R. Rawi, Z. Islam, G.Y. Chuang, P.R.

    Kolatkar and H. Bensmail; BCrystal: an interpretable sequence- based protein crystallization predictor; Bioinformatics; https://academic.oup.com/bioinformatics/article-abstract/36/5/1429/5585746

  • E. Ullah*, R. Mall*, M.M. Abbas, K. Kunji, A.J. Nato, H. Bensmail, E.M. Wijs- man, M. Saad

    Comparison and assessment of family- and population- based genotype imputation methods in large pedigrees; Genome Re- search; doi:10.1101/gr.236315.118

  • A. Elbasir, B. Moovarkumudalvan, K. Kunji, P.R. Kolatkar, H. Bensmail, R. Mall

    DeepCrystal: A Deep Learning Framework for Sequence-based Protein Crystallization Prediction; Bioinformatics; doi.org/10.1093/bioinformatics/bty953

  • R. Mall, L. Cerulo, L. Garofano, V. Frattini, K. Kunji, H. Bensmail, T.S. Sabedot, H. Noushmehr, A. Lasorella, A. Iavarone, M. Ceccarelli

    RGBM: regularized gradient boosting machines for identification of the transcriptional regulators of discrete glioma subtypes; Nucleic Acids Research; doi.org/10.1093/nar/gky015

  • S. Khurana, R. Rawi, K. Kunji, G.Y. Chuang, H. Bensmail, R. Mall

    Deep- Sol: a deep learning framework for sequence-based protein solubility prediction; Bioinformatics; https://doi.org/10.1093/bioinformatics/bty166

  • V. Frattini, S.M. Pagnotta, J.J. Fan, ..., R. Mall, ..., M. Ceccarelli, A. Lasorella, A. Iavarone

    A metabolic function of FGFR3-TACC3 gene fusions in cancer; Nature; https://doi.org/10.1038/nature25171