Pritam Kumar Panda
Also known as: Pritam Kumar Panda
Stanford University, German Cancer Research Center, Dr D Y Patil Biotechnology and Bioinformatics Institute, Utkal University, Helmholtz Institute for Translational Oncology Mainz
0000-0003-4879-2302
About
Bioinformatician with expertise in high-throughput NGS data analysis, molecular modeling, drug designing, and workflow management using advanced programming tools (R, Python, Bash, Nextflow, Snakemake). Strong track record in interdisciplinary research projects, op- timizing bioinformatics workflows, and contributing to impactful publications. Extensive experience in big data management and software development and committed to upholding rigorous development standards, efficiently prioritizing workloads, and maintaining strong verbal communication skills within multidisciplinary teams.
Employment
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Stanford University Postdoctoral Scholar2025 - 2027
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German Cancer Research Center Bioinformatician2023 - 2024
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Helmholtz Institute for Translational Oncology Mainz Bioinformatics Engineer2023 - 2024
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Karolinska Institutet Affiliated Researcher2021 - 2023
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Uppsala University Doctoral Student2018 - 2023
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University of Freiburg Graduate Scientist2017 - 2018
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KIIT School of Biotechnology Junior Research Fellow2016 - 2017
Education
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Dr D Y Patil Biotechnology and Bioinformatics Institute Master of Technology2014 - 2016
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Utkal University Master of Science2012 - 2014
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Utkal University Bachelor of Science2009 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (228)
- PandaDock: An Open-Source Molecular Docking Platform with Flexible-Ligand Search and Equivariant Neural Scoring Save
- Structural Context Determines Docking Engine Performance: A Family-Stratified Benchmark of Six Engines Save
- PandaMap: A Python Package for Comprehensive Visualization of Protein–Ligand Interaction Networks Save
- An ATM-AMPK-Wip1 feedback loop governing DNA-damage signaling and tumor stress responses. Save
- 50002 Multi-Acid Synergistic Peel Technology for Professional Use to Reduce Hyperpigmentation: Clinical Evidence and Mechanistic Understanding Save
- A novel professional-use synergistic peel technology to reduce visible hyperpigmentation on face: Clinical evidence and mechanistic understanding by computational biology and optical biopsy Save
- A novel professional-use synergistic peel technology to reduce visible hyperpigmentation on face: Clinical evidence and mechanistic understanding by computational biology and optical biopsy. Save
- Molecular insights to in vitro biocompatibility of endodontic Pulpotec with macrophages determined by oxidative stress and apoptosis Save
- Nanoparticle-mediated metronomic chemotherapy in cancer: A paradigm of precision and persistence Save
- Proximal discrepancies in intrinsic atomic interaction determines comparative in vivo biotoxicity of Chlorpyrifos and 3, 5, 6-trichloro-2-pyridinol in embryonic zebrafish Save