Rate My Professor Daniel Sadasiivan

Sadasivan's research interests lie in nuclear physics and non-equilibrium thermodynamics, encompassing lattice quantum chromodynamics, resonance pole positions, three-body dynamics, and machine learning applications such as predicting the Mpemba effect and inference methods under model misspecification. He has authored or co-authored 18 publications, accumulating nearly 300 citations. Key works include the 2022 Physical Review D paper "Pole position of the a1(1260) resonance in a three-body unitary framework," the 2023 Frontiers in Physics article "New insights into the pole parameters of the Λ(1380), the Λ(1405) and the Σ(1385)," "Predicting the Mpemba effect using machine learning" (2023), "A Test of the Thermodynamics of Evolution" (2024), and "Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification" (2025). As Physics Program Director, he fosters an educational environment where the sense of wonder from contemplating reality leads to truth, integrating physics with philosophy and theology in a Catholic liberal arts tradition. Sadasivan has delivered seminars, including at Jefferson Lab, participated in the Hail Mary Lecture Series on God, Natural Sciences, and Beauty, and contributed philosophical-scientific articles to Crisis Magazine.