Summary
Nikesh Lama is a Data Scientist with nine years of experience blending computational neuroscience research and applied machine learning, currently solving real-world problems at KPMG. He holds a PhD in Computational Neuroscience and has a strong track record building CNN and one-shot learning systems, multimodal architectures, and data pipelines for neural signal analysis and robotic imitation learning. His background spans embedded systems, FPGA-driven spiking neural network tooling, and web interfaces that bridge high-performance research hardware with user-friendly workflows. At Nottingham Trent University he led projects from 3D bioprinting neuronal cultures to MuJoCo-simulated training data, showing an unusual mix of wet-lab appreciation and software engineering rigor. Based in Stony Stratford, he’s particularly interested in neural coding and dynamics, bringing both experimental insight and production-minded ML engineering to interdisciplinary teams.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science (Computational Neuroscience), Doctor of Philosophy (Ph.D.) Computer Science (Computational Neuroscience) at Nottingham Trent University
Bachelor’s Degree Information Technology, Bachelor’s Degree Information Technology at Prifysgol Cymru Y Drindod Dewi Sant / University of Wales Trinity Saint David
High School Physics, High School Physics at Kathmandu Model College
English, Nepali, Hindi