Present Team

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Dr. Vishal Acharya

Principle Investigator
Principal Scientist

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Nymphaea Arora

PhD Student
Email: nymphaea.arora@gmail.com

Nymphaea Arora

Expertise
  • Drug Discovery in brain stroke
  • RNA Seq Analysis
  • Systems Biology
  • Publication:
  • The Comparative Genomics and Network Analysis of eNOS by Using Different Bioinformatics Approaches Current Pharmacogenomics and Personalized Medicine, (2023) (CIF=)
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    Ekjot Kaur

    PhD Student
    Email: matharuekjot@gmail.com

    Ekjot Kaur

    Expertise
  • Evolutionary analysis
  • Genome assembly and annotation
  • Transcriptome analysis
  • Host-Pathogen Interaction
  • Publication:
  • Systematic analyses with genomic and metabolomic insights reveal a new species, Ophiocordyceps indica sp. nov. from treeline area of Indian Western Himalayan region, Frontiers in Microbiology (2023) (CIF= 5.2) [Link]
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    Ravi Kumar

    PhD Student

    Email: ravisaroch@gmail.com

    Ravi Kumar

    Expertise
  • Plants systems Biology
  • Machine Learning
  • Graph Neural Network
  • Host-Phytopathogen Interactions
  • Computational Genomics
  • Publication:
  • Effector protein structures: a tale of evolutionary relationship. Trends in Plant Science, Cell Press (2023) (IF: 22.0)
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    Dipali Bhatia

    PhD Student

    Email: dipalibhatia101@gmail.com

    Dipali Bhatia

    Expertise
  • Plant Bioinformatics
  • Machine learning
  • Publication:

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    Er. Ruhika Sharma

    PhD Student
    Email: er.ruhikasharma@gmail.com

    Er. Ruhika Sharma

    Expertise
  • Artificial intelligence for Image classification
  • Medical Imaging
  • Publication:

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    Jatin Kaushik

    Project Associate

    Email: kaushik.jatin.7827@gmail.com

    Jatin Kaushik

    Expertise
  • Artificial Intelligence in Drug Discovery
  • Computational Genomics
  • Publication:

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    Aakarshan Rehan

    CM Startup Incubatee

    Email: aakarshanplp@gmail.com

    Aakarshan Rehan

    Expertise
  • AI Based App for Stroke Detection
  • Publication:

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    Kritika Sharma

    Project Associate

    Email: sharmakritu617@gmail.com

    Kritika Sharma

    Expertise
  • Artificial Intelligence in Imaging Techniques
  • Plant Genomics
  • Publication:

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    Goldie Kumar

    Lab Attendant

    Email: kumargoldie82@gmail.com

    Expertise
  • Backbone of the Lab
  • ALUMNI
    Former PhD Students

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    Dr. Neeraj Kumar

    PhD student(Defended 2023)
    Senior Project Associate(SPA)

    Neeraj Kumar

    Expertise
  • Cheminformatics
  • Machine Learning
  • Artificial Intelligence
  • Structural Bioinformatics
  • Publication
  • Machine intelligence-driven framework for optimized hit selection in virtual screening. (2022) Journal of Cheminformatics [Link]
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    Dr. Meetal Sharma

    PhD Student (Defended 2023)
    Present Position: Postdoc Fellow, The Lipton Lab, The Scripps Research Institute

    Dr. Meetal Sharma

    Expertise
  • Oxidative stress in cancer
  • RNA-seq analysis
  • Large-scale network analysis
  • Publication
  • DNA damage response proteins synergistically affect the cancer prognosis and resistance [Link]
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    Dr. N.V Tirpude(M.Vsc.)

    PhD Student (Defended 2021)
    Senior Scientist, CSIR-IHBT, Palampur

    Dr. N.V Tirpude

    Expertise
  • Pathophysiology of lower respiratory tract disorders
  • Lung-inflammation induced therapy
  • Drug discovery in preclinical trial animal models
  • Publication
  • Vitex negundo Linn. extract alleviates inflammatory aggravation and lung injury by modulating AMPK/PI3K/Akt/p38-NF-κB and TGF-β/Smad/Bcl2/caspase/LC3 cascade and macrophages activation in murine model of OVA-LPS induced allergic asthma[Link]
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    Dr. Vinay Randhawa

    PhD Student (Defended 2016)

    Dr. Vinay Randhawa

    Present Position:

    Post Doc (Computational Biologist) at Harvard Medical School, Boston, USA

    Publication:
  • Comparative phylogenetic analysis and transcriptional profiling of MADS-box gene family identified DAM and FLC-like genes in apple (Malus x domestica) Scientific Reports (Nature Publishing Group) (# Equal first authorship). (2016) [Link]
  • A systematic approach to prioritize drug targets using machine learning, a molecular descriptor-based classification model, and high-throughput screening of plant derived molecules: a case study in oral cancer Molecular omics. (2015) [Link]
  • Integrated network analysis and logistic regression modeling identify stage-specific genes in Oral Squamous Cell Carcinoma BMC Medical Genomics (2015) [Link]
  • Amino acids flanking the central core of Cu,Zn superoxide dismutase are important in retaining enzyme activity after autoclaving Journal of Bimolecular Structure & Dynamics (2015)[Link]
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    Dr. Preeti Arya

    PhD Student (Defended 2017))

    Dr. Preeti Arya

    Present Position:

    Faculty,Shree Guru Gobind Singh Tricentenary University, Gurugram

    Publication
  • Comparative phylogenetic analysis and transcriptional profiling of MADS-box gene family identified DAM and FLC-like genes in apple (Malus x domestica) Scientific Reports (Nature Publishing Group) (# Equal first authorship). (2016) [Link]
  • Comutational identification raises a riddle for distribution of putative NACHT NTPases in the genome of early green plants PLoS ONE (2016) [Link]
  • Plant STAND P-loop NTPases: A current perspective of genome distribution, evolution, and function. Molecular Genetics and Genomics (2017) [Link]
  • Genome-Wide Characterization and Expression Profiling of TIFY Gene Family in Pigeonpea (Cajanus cajan (L.) Millsp.) under Copper Stress Journal of Plant Biochemistry and Biotechnology (2016) [Link]
  • Genome-wide identification and expression analysis of NBS-encoding genes in Malus x domestica and expansion of NBS genes family in Rosaceae PLoS ONE (2014) [Link]
  • ALUMNI
    Software Programmer

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    Abhishek Khatri

    Master in Computer Application (MCA)

    Email: khatriabhi2319@gmail.com

    Abhishek Khatri

    Expertise
  • Biological data handling and Databases development
  • Network Data visualization
  • BASH/SHELL (Scripting)
  • Big Data Analysis(NGS)
  • Python
  • HTML , CSS, Bootstrap, PHP, MySQL
  • Publication
  • IHM-DB: a curated collection of metagenomics data from the Indian Himalayan Region, and automated pipeline for 16S rRNA amplicon-based analysis (AutoQii2). Database, Oxford (2023) (CIF=4.462). [Link]