Summary
Karnamohit Ranka is a computational chemist and postdoctoral researcher with eight years of experience applying density-functional and wave-function quantum chemistry methods to time-dependent and time-independent molecular problems. He combines ab initio electronic-structure work with statistical learning—building Hamiltonian and density-matrix prediction models and accelerating custom optimization on GPUs using JAX and CuPy. His recent postdoctoral work models electrochemical kinetics, explaining cathodic copper corrosion and ion-pair interactions using Kinetiscope informed by AIMD and electronic-structure data. He has bridged academia and industry, developing ML forecasting systems for construction cost estimation and performing deep correlation and causal feature analyses. Known for translating complex electronic-structure insights into simplified kinetic relationships (e.g., univariate links to reorganization energy), he brings both theoretical rigor and practical model-building skills. Based in California, he blends advanced quantum chemistry, ML, and kinetics modeling to tackle real-world electrochemical and materials challenges.
8 years of coding experience
2 years of employment as a software developer
Secondary School Certificate N/A, Secondary School Certificate N/A at Silver Oak School - India
Master of Science (MS) Computational/Theoretical Chemistry, Master of Science (MS) Computational/Theoretical Chemistry at University of Florida
Higher Secondary School Certificate Physics Methematics Chemistry, Higher Secondary School Certificate Physics Methematics Chemistry at H.P.T. ARTS and R.Y.K. SCIENCE COLLEGE
Bachelor of Science and Master of Science (dual degree) Chemistry (major) Physics (minor), Bachelor of Science and Master of Science (dual degree) Chemistry (major) Physics (minor) at IISER Bhopal
Doctor of Philosophy - PhD Computational Chemistry, Doctor of Philosophy - PhD Computational Chemistry at University of California, Merced
English, Marathi, Hindi, French