Divya Agrawal
The University of Tokyo, The University of Queensland, Indian Institute of Technology Delhi
About
She hailed from New Delhi, India. She has completed her BS and MS Biotechnology. During her master’s program, she took several soft skill courses in C programming and chemistry. She has completed three consecutive summer programs under the POBE fellowship granted by DST, India, and successfully received a Diploma in Biology from JNCASR, India. She was the winner of the Business plan competition twice in the Entrepreneurship cell. She has qualified for Graduate Aptitude Test in Engineering (Under Top 50 All India Rank) and is passionate about pursuing research in the field of next-generation advanced antibody-based targeted therapeutic engineering.
Collaborations
The University of Queensland--Indian Institute of Technology Delhi (IIT Delhi)
UQ Supervisor (AIBN) - A/Prof Jessica Mar, Dr Lucia Zacchi, Prof Stephen Mahler and Dr. Martina L. Jones
IIT Delhi Supervisor (Chemical Engineering) - Prof. Anurag Singh Rathore
Funding
Ministry of Human Resource Development (MHRD) Scholarship at Indian Institute of Technology Delhi
The University of Queensland, HDR Scholarship.
The UQ-IIT Delhi Academy of Research funding.
Employment
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The University of Tokyo PostDoc2026 - Present
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The University of Queensland PhD student2022 - 2026
Education
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Indian Institute of Technology Delhi PhD2022 - 2026
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The University of Queensland PhD2022 - 2026
Projects & Funding
Projects & funding information is unavailable.
Publications (5)
- Anti-DDR1 monoclonal antibodies and their therapeutic applications Save
- Bioinformatic pipeline to identify potential therapeutic targets with subsequent isolation and characterization of novel human anti- DDR1 antibodies Save
- A Multitechnique Spectroscopy Platform for Monitoring Heterogeneities in the Higher-Order Structure of mAb Therapeutics Save
- Cell–cell interactions as predictive and prognostic markers for drug responses in cancer Save
- An explainable machine learning data analytics method using TIGIT-linked genes for identifying biomarker signatures to clinical outcomes Save