*** #RSCposter 2026 ***
Presented poster on " Enhancing NMR Shielding Predictions of Atoms-in-Molecules Machine Learning Models with Neighborhood-Informed Representations".
*** 6th NMR Meets Biology Meeting 2026 ***
A helping hand with the tutorial on " Computational Modeling of NMR Chemical Shifts for Structure Elucidation", by Prof. Raghunathan Ramakrishnan.
*** CODS 2025: International Conference on Data Science ***
*** TCS 2025: Theoretical Chemistry Symposiums ***
Presented poster on "Enhancing NMR Shielding Predictions of Atoms-in-Molecules Machine Learning Models with Neighborhood-Informed Representations".
*** TACC 2025: TIFR Annual Chemistry Conference ***
Presented poster on "Enhancing NMR Shielding Predictions of Atoms-in-Molecules Machine Learning Models with Neighborhood-Informed Representations".
*** TIFR Hyderabad In-House Symposium 2025 ***
Presented poster on "Enhancing NMR Shielding Predictions of Atoms-in-Molecules Machine Learning Models with Neighborhood-Informed Representations".
*** AIBiophysics 2025: AI in Biophysics ***
Presented poster on "Many-Body Discrete and Continuous Representations for Atoms-in-Molecules Machine Learning Inspired by Many-Body Interaction".
*** #RSCposter 2025 ***
Presented poster on " Discrete vs. Continuous Descriptors in Machine Learning for Atoms-in-Molecules: Pros and Cons.".
*** ML4Science 2025: Machine Learning for Science ***
Presented poster on "Discrete and Continuous Representations for Atoms-in-Molecules Machine Learning Inspired by Many-Body Interaction".
*** ChemSci 2024: Leaders in the field symposium ***
Presented poster on "Discrete and Continuous Representations for Atoms-in-Molecules Machine Learning: Pros and Cons".
*** #LatinXChem24 ***
Presented poster on " Machine Learning Prediction of NMR Chemical Shifts Using Discrete Representations".