Hello! My name is Sahaana and I’m a recent physics graduate from Ashoka University (Class of 2026). My research interests focus on mathematical and computational frameworks to study complex systems, especially those that are nonlinear, higher-dimensional and often chaotic. For my undergraduate thesis, I worked on reservoir computing with iterative polynomials under Profs. Bikram Phookun, Abhinav Gupta, and Ramakrishna Ramaswamy. I am particularly interested in how tools from dynamical systems and statistical physics can be used to build ML architectures to study high-dimensional, nonlinear systems – with applications to ecology, neuroscience, climate science and beyond. I also have a soft spot for computational social science (the Santa Fe Institute has a fascinating read on chaos and arms-race models here!)

I have previously worked on synchronisation and multistability in coupled chaotic systems (with Prof. Ramakrishna Ramaswamy at IIT-Delhi), direct imaging of quasars with the 4m ILMT (with Dr. Jean Surdej at ARIES/ULiège — which led to a co-authored paper in Astronomy & Astrophysics!), Padé approximations to nucleon axial form factors (with Dr. Sergi González-Solís at LANL), and Monte Carlo methods in field theory (at UC Berkeley). Most recently, I worked at TIFR under Dr. Shravan Hanasoge on applying deep learning to detect low signal-to-noise transits in exoplanet survey data.

Outside of physics, I am usually off the grid hiking in the mountains, working on my next digital art piece, doing long-distance running, binge-reading books or collecting random hobbies like working with hardware and crocheting.

I always welcome interesting conversations and new ideas – whether it’s about research, side-quests or anything in between – feel free to reach out!

^{_{Click on the image to read more about some pretty math 🔎}}