Summary
Uttam Bhat is a data scientist and mathematical modeler with eight years of experience applying probabilistic and computational methods across physics, ecology, finance, and network science. He holds a PhD from Boston University and a strong engineering-physics foundation from IIT Bombay, blending rigorous theory with hands-on simulation work. Currently at Climate LLC after postdoctoral roles at UC Santa Cruz and UC Merced, he builds Monte Carlo, stochastic-process, and machine learning solutions to tackle real-world, data-driven problems. Proficient in C++, Python (NumPy, Pandas), Keras, Matlab and SQL, he bridges scientific coding and scalable analysis pipelines. His open-source projects—ranging from lattice and continuum foraging simulators to RNN and Gaussian Process tools for empirical dynamic modeling—demonstrate a knack for turning ecological theory into reusable software. Colleagues value his ability to translate complex stochastic ideas into actionable models and clear scientific writing.
8 years of coding experience
Indian Institute of Technology Bombay
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Boston University