SHIVAM MISHRA
@shivammishra4
Bioinformatics researcher and assistant professor specializing in in-silico drug discovery.
What I'm looking for
I am an Assistant Professor in Zoology with a Ph.D. (pre-submitted) in Bioinformatics and focused expertise in in-silico drug discovery and phytochemical research. I lead funded projects and independently conduct computational and experimental studies that bridge traditional medicine and modern pharmacology.
My work includes molecular docking, MD simulations, DFT, ADMET analysis, and experimental validation such as phytochemical extraction and antibacterial assays; I have authored multiple peer-reviewed articles and book chapters and hold published patents in ML and AI applications for healthcare.
I am committed to collaborative research, mentoring students at UG and PG levels, organizing scientific events, and translating computational insights into experimental outcomes to advance drug discovery and biomedical applications.
Experience
Work history, roles, and key accomplishments
Assistant Professor
S. S. Khanna Girls’ Degree College
Jul 2021 - Present (4 years 3 months)
Serving as Assistant Professor (contract basis) in the Department of Zoology, teaching UG/PG Bioinformatics and Zoology courses and leading research projects including a funded in‑house project on phytochemical screening for breast cancer (₹65,000).
Principal Investigator
S. S. Khanna Girls’ Degree College
Jan 2023 - Dec 2025 (2 years 11 months)
Principal Investigator for an IQAC‑funded project ('In‑silico Investigation of phytochemicals from Indian Medicinal Plant against Breast Cancer') awarded ₹65,000 for 2023–2025, overseeing computational screening and experimental validation.
Education
Degrees, certifications, and relevant coursework
Singhania University
Doctor of Philosophy, Bioinformatics
2022 - 2025
Ph.D. in Bioinformatics research on in silico screening of phytochemicals from Punica granatum and Saraca asoca with experimental validation; pre-submitted 17/06/2025.
Availability
Location
Authorized to work in
Job categories
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