Mr Mayank Singh (Sengar), B.S., fIVS, fJMBS

Mayank Singh is an early-career researcher working at the interface of radiation oncology, radiobiology, and quantitative cancer science, with a focus on mechanistic determinants of radiation response in solid tumors. His work centers on how oncogenic signaling networks, genomic instability, and DNA damage response (DDR) pathways govern radiosensitivity, tumor adaptation, and therapeutic resistance. He integrates multi-omics frameworks-including genomics, transcriptomics, and proteomics-to investigate tumor heterogeneity and identify predictive biomarkers for biologically guided radiotherapy. He is particularly interested in microenvironmental influences such as hypoxia, metabolic reprogramming, and immune-radiation interactions that critically shape treatment outcomes. His research approach bridges molecular oncology with physics-driven therapeutic paradigms, emphasizing radiobiological modeling, dose optimization, and adaptive radiotherapy strategies. He is also engaged in the application of computational oncology and machine learning to develop predictive models for treatment response and toxicity. In parallel, he maintains an academic interest in advanced microscopy, including cryo-electron microscopy, to complement systems-level analyses with structural insights. He is currently engaged in independent thesis work in collaboration with University of Tripoli, further strengthening his foundation for doctoral training in radiation oncology or medical physics, with long-term aims to contribute to precision, technology-driven cancer therapeutics.

• X-Ray & Tomography
• Material & Physical Sciences
• Electron Microscopy & Related Techniques
• Flow Cytometry & Related Techniques
• AFM & other Scanning Probe Microscopies
• Early Career
• Cryo-Electron Microscopy