Jul 2025
- Talk International Conference on Continuous Optimization: On the Dynamics of Neural Network Capacity
May 2025
- Talk SIAM Dynamical Systems: On the Dynamics of Neural Network Capacity
Feb 2025
- Talk SIAM-Computational Science and Engineering: The Effect of Uncertainty on Learning Dynamics of Neural Networks
Oct 2024
- Grant SciDAC-5 Rapids3 Institute: DOE ASCR grant awarded ($37.5M total) (Role: Senior Personnel)
Sep 2024
- Grant Privacy Preserving Federated Learning: DOE ASCR grant awarded ($3M total) (Role: Thrust Co-Lead)
- Grant Energy Efficient Computing: A Holistic Methodology: DOE ASCR grant awarded ($1.875M total) (Role: Senior Personnel)
May 2024
- Talk Nuclei PI meeting: The Effect of Uncertainty on Learning to Extract Response Functions
Mar 2024
- Invited AI Institute, University of South Carolina: Looking at continual learning through a dynamical system point of view
Feb 2024
- Invited University of Pennsylvania: Continual Learning – a Theoretical Primer
- Talk SIAM conference on Mathematics and Data Science: Actively Generating Data to train better
Jul 2023
- Grant Distributed Intelligence for Resilient Scientific Workflows: DOE ASCR grant awarded ($8.75M total, $1.875M personal share) (Role: Institutional PI)
- Talk 17th U.S. National Congress on Computational Mechanics: Continual Learning for Coherent Diffraction Imaging
Apr 2023
- Invited Brown University: A Dynamical System View of Continual Learning
- Invited Dagstuhl Seminar: Continuously Detecting Workflow Anomalies using Graph Neural Networks
- Invited Oak Ridge National Laboratory: Continual learning for adapting digital twins to modifying environments
Feb 2023
- Keynote PK Honorarium Lecture, MIT-Anna University: Advanced Mathematical Tools and Applications
Oct 2022
- Grant SciDAC-5 NUCLEI: DOE ASCR grant awarded ($13M total, $525K personal share) (Role: Thrust Lead)
- Grant SciDAC-5 Rapids2 Institute: DOE ASCR grant awarded ($28.75M total) (Role: Senior Personnel)
Oct 2021
- Grant PosEiDon: DOE ASCR grant awarded ($3.75M total, $1.05M personal share) (Role: Institutional PI)
Feb 2021
- Invited MIT Split-learning Workshop: Model Parallelization in Deep Neural Networks
Jan 2021
- Grant LDRD - Nuclear Responses Inversion: Argonne LDRD grant awarded (Role: PI)
Nov 2020
- Keynote International Conference on Many Body Theories: Machine Learning-based Inversion of Nuclear Responses
Oct 2020
- Grant Nuclear Quantum Monte Carlo LDRD: Argonne LDRD grant awarded ($2.1M total) (Role: Co-PI)
Apr 2020
- Keynote MIT-Anna University Keynote: Generalization As a Tool to Understanding Neural Network Optimization
Jul 2019
- Invited Qualcomm AI Research: Learning to Generalize through Deep Neural Network
- Milestone Joined Argonne National Laboratory: Started position as Assistant Computational Mathematician
Mar 2019
- Invited Washington University in St. Louis: Distributed Learning with Deep Neural Networks