Talks (in reverse chronological order)

AI Medical Imaging Seminar (AIMI) at UT Austin
- April 2025, Virtual
- Advancing Precision Medicine: Knowledge-Informed Methods with Data Efficiency

UT Austin
- Operations Research and Industrial Engineering Program
- February 2025, Austin
- Advancing Precision Medicine: Knowledge-Informed Methods with Data and Computational Efficiency

Stanford University MedAI Group Exchange Sessions
- February 2025, Virtual
- Advancing Precision Medicine: Knowledge-Informed Methods with Data Efficiency

University of South Florida
- Department of Industrial and Management Systems Engineering
- February 2025, Tampa
- Advancing Precision Medicine: Knowledge-Informed Methods with Data and Computational Efficiency

Clemson University
- Department of Industrial Engineering
- January 2025, Clemson
- Advancing Precision Medicine: Knowledge-Informed Methods with Data and Computational Efficiency

Lehigh University
- Department of Industrial and Systems Engineering
- November 2024, Bethlehem
- Advancing Precision Medicine: Knowledge-Informed Methods with Data and Computational Efficiency

INFORMS Annual Meeting
- October 2024, Seattle
- A Multi-Scale Self-Corrected Masked Autoencoder with Brain Tumor Applications

National Cancer Institute Junior Investigator Meeting
- August 2024, Bethesda
- A Self-Supervised AI Framework for Quantitative Assessment of Intratumoral Heterogeneity in Glioblastoma Using MRI

INFORMS Annual Meeting
- October 2023, Phoenix
- Biologically-Informed Deep Neural Networks for Precision Medicine of Brain Cancer
- A Novel Hybrid Ordinal Learning Model with Health Care Application

INFORMS Annual Meeting
- October 2023, Phoenix
- Biologically-Informed Deep Neural Networks for Precision Medicine of Brain Cancer
- A Novel Hybrid Ordinal Learning Model with Health Care Application

INFORMS Annual Meeting
- October 2022, Indianapolis
- Biologically-Informed Deep Neural Networks Provide Quantitative Assessment of Intratumoral Heterogeneity in Post-Treatment Glioblastoma

Physical Sciences-Oncology Network (PS-ON) Annual Meeting
- September 2022, Virtual
- Biologically Informed Machine Learning to Quantify Regional Heterogeneity of Tumor Recurrence in Glioblastoma