Abhishek Yadav

Abhishek's research examines the interplay between computational complexity—the memory and runtime required to solve a problem—and the fundamental energetic costs of computation. At SFI, he is working with David Wolpert on the thermodynamics of computation and communication. He seeks to understand how constraints within computational systems shape their unavoidable heat dissipation, drawing insights from physics and computer science. 

Beyond his current work, Abhishek is broadly interested in how complex systems compute, exert agency, and extract energy from their environment—fundamental abilities that vary across life forms. How does the capacity for computation scale with the ability to harness energy and with the growth of complexity? And how do these three elements—computation, energy, and complexity—mutually reinforce one another? 

Before joining SFI, Abhishek earned a Master’s degree in physics from the Indian Institute of Science Education and Research (IISER) Kolkata. His background spans statistical physics, stochastic processes, and theoretical computer science.