Summary
Krishna Pusuluri is a postdoctoral researcher and computational neuroscientist with 11 years of experience bridging computer science and dynamical systems to unravel neural and nonlinear dynamics. Trained as a software engineer who built ultra-large-scale grid computing pipelines at Yahoo, he now develops mathematical, machine learning and GPU-accelerated methods to study multistability, chaos, and bifurcations in neuronal circuits and Lorenz-like systems. His work combines symbolic dynamics, kneading invariants and modern clustering to reveal global organization of chaotic regimes, resulting in multiple peer-reviewed publications and encyclopedia chapters. Equally comfortable with low-level parallelization (CUDA, OpenMP) and high-level theoretical analysis, he brings rare full-stack expertise to interdisciplinary problems in neuroscience and nonlinear optics. Based in Atlanta, he also has a long history of teaching and community leadership, reflecting a commitment to mentoring and scientific outreach.
11 years of coding experience
6 years of employment as a software developer
Jawaharlal Nehru Technological University Hyderabad
Doctor of Philosophy (PhD), Neuroscience, 4.05/4.0 CGPA, Doctor of Philosophy (PhD), Neuroscience, 4.05/4.0 CGPA at Georgia State University