Summary
Anand Subramoney is a Lecturer (Assistant Professor) based in London with 14 years of experience at the intersection of artificial intelligence, machine learning, reinforcement learning, and neural networks. He holds a PhD from Technische Universität Graz, an MS from The University of Texas at Austin, and an undergraduate degree from IIT Madras, blending rigorous academic training with practical research. At Royal Holloway he combines teaching and research, while additionally founding EQE AI to translate advanced AI concepts into applied solutions. His work emphasizes reinforcement learning and neural architectures, suggesting a focus on both theoretical foundations and real-world agent behaviors. Known for bridging academia and entrepreneurship, he brings a long-term commitment to advancing intelligent systems and mentoring the next generation of researchers. An uncommon strength is his cross-continental academic pedigree, which informs a global perspective on AI challenges and collaborations.
14 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology Madras
MS Computer Science, MS Computer Science at The University of Texas at Austin
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Technische Universität Graz