Summary
Narmada Sambaturu is an Assistant Professor and Director's Postdoctoral Fellow–trained computational biologist with a decade of experience modeling pathogen evolution, disease progression, and epidemic spread. She combines multi-scale mathematical modeling, machine learning, genomics, and systems biology to study heterogeneous host immune responses and anticipate zoonotic and pandemic threats. Her work bridges quantitative theory and public health practice, explicitly accounting for social factors like intervention adherence and healthcare disparities to improve preparedness and equitable responses. Trained at IISc and NUS and currently based in Binghamton, she brings a rare blend of deep computational expertise and practical policy-minded perspective to infectious disease research.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at Indian Institute of Science (IISc)
Bachelor of Engineering (B.E.) Computer Science and Engineering, Bachelor of Engineering (B.E.) Computer Science and Engineering at M.S.Ramaiah Institute of Technology
Kendriya Vidyalaya Sangathan
Master's Degree Computational Biology, Master's Degree Computational Biology at National University of Singapore
Hindi, Telugu, Tamil, Kannada, English