SG

Shantanu Gupta

Universidade Federal do Rio Grande do Norte, Universidade de São Paulo, Singhania University

ORCID iD 0000-0001-7110-6564
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About

Dr. Shantanu Gupta is a bioinformatician and computational systems biologist specializing in cancer regulatory networks, non-coding RNA (ncRNA) mechanisms, and cell death pathways.

He earned his Bachelor’s degree in Bioinformatics from Singhania University, India (2011), ranking among the top five students in his class. He then pursued advanced studies in Brazil, completing a Master’s in Physics (2016) at the Federal University of Santa Maria (UFSM), RS, Santa Maria. He continued directly in the same department, receiving his Ph.D. in Physics (2021). His doctoral research focused on systems biology and dynamic computational modeling of signaling and ncRNA-mediated gene regulatory networks in cancer.

During his Ph.D., he published multiple peer-reviewed studies, including early and influential work on autophagy in cancer biology. He has since served as a peer reviewer for over 100 high-impact international journals, including Molecular Cancer, contributing to interdisciplinary advancements in computational oncology. From September 2021 to October 2023, he held his first postdoctoral fellowship in Mathematics and Statistics at the Department of Computer Science, University of São Paulo (IME-USP), São Paulo, where he integrated systems biology with AI-driven computational modeling to investigate complex biological networks. His second postdoctoral fellowship (April 2024 – January 2025) at the same institution deepened this line of research, focusing on ncRNA-mediated control of cell death modalities (apoptosis, autophagy, ferroptosis) and their roles in cancer progression and therapeutic resistance. Notably, he contributed one of the earliest computational studies on ferroptosis regulation in oncology.

Since August 2025, Dr. Gupta has been a Visiting Associate Professor in the Bioinformatics Multidisciplinary Environment (BioME)-IMD program at the Federal University of Rio Grande do Norte (UFRN), Natal, where he teaches bioinformatics and computational systems biology while leading research on network modeling and AI applications in biomedical systems. He currently serves as an Academic Editor for PLOS Computational Biology, BMC Bioinformatics, PLOS ONE, and Discover Oncology. His research integrates systems biology, network theory, bioinformatics, and artificial intelligence to elucidate mechanistic underpinnings of cancer dynamics, with particular emphasis on ncRNA regulation and cell death decisions in therapeutic resistance.

Employment

  • Universidade Federal do Rio Grande do Norte Visiting Associate Professor
    2025 - Present

Education

  • Universidade de São Paulo Postdoc
    2024 - 2025
  • Universidade de São Paulo Postdoc
    2021 - 2023
  • Singhania University B.Tech Bioinformatics
    2007 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (28)