georgios goulas
negin moharrami allafi
shervin parsi
I completed my master degree in Physics at IASBS with thesis research in Computational Neuroscience. I am currently a graduate student working with Dr. Gopalakrishnan and Dr. Schwab. I am interested in learning theory and the process of information in physical systems.
camilla polvara
Abhishek raj
I completed my masters from Indian Institute of Technology (BHU) Varanasi, India where I worked on the problem of distinguishing Integrable systems from non-Integrable systems using quantum quenches. Currently I am interested in properties of certain quantum spin models and their phase transition.
Recent graduates
sankhya basu
Currently, I am working on using Renormalization Group methods based on Tensor Networks to simulate classical statistical systems at complex couplings to access regimes in coupling space with novel spin-spin correlations that are inaccessible by standard Quantum Monte Carlo methods. I am also exploring connections of tensor networks to quantum circuits using the complex temperature techniques to study both unitary and non-unitary dynamics and its applications to quantum computing and quantum information, and in the future would also like to explore applications of tensor networks at complex temperatures to Machine Learning and Neural Networks.
Previously, I obtained my Master's degree in High Energy Physics from the University of Durham, UK where I worked on the AdS/CFT correspondence for my Master's thesis. In particular, I worked on the Hawking-Page phase transition for Type IIB supergravity theory on Schwarzschild Black Holes and its correspondence to the confinement/deconfinement phase transition in super Yang-Mills theory.
Apart from physics, I'm an avid cricket player and a fan, a guitarist, a photographer-in-learning, and a decent chef. I have a unique interest in emulating the sounds of the sitar and the sarod (Indian Classical Instruments) on the guitar without any fret or string modifications.
Research Interests: Statistical Physics, Condensed Matter Theory, Renormalization Group methods based on Tensor Networks, Quantum Computation and Quantum Information, Machine Learning and Neural Networks.
https://www.linkedin.com/in/sankhyabasu
CONSTANTIJN VAN DER POEL
Originally interested in high energy theory and mathematical physics (i.e. all things stringy), I am now working on artificial intelligence theory. This transition was part of organic learning; whether or not this should inspire machine learning is an open area of research. My current interests lie primarily in the intersection of theories of reinforcement learning and natural language processing, integrating inspiration from physics, information theory, and game theory, among others.I received a double Bachelor's degree in mathematics and physics (with a minor in economics) at Utrecht University in the Netherlands, and my Master's degree in physics at Northwestern University in the United States.