INFORMS 2025 (Atlanta, Georgia) - "Responsible Machine Learning via Mixed-Integer Optimization" (TutORial Presentation)
INFORMS 2025 (Atlanta, Georgia) - "Learning Optimal Prescriptive Trees Robust to Distribution Shifts" (Job Market Showcase Presentation)
ICSP 2023 (Paris, France) - "Learning Optimal Classification Trees Robust to Distribution Shifts"
INFORMS 2024 (Seattle, Washington) - "Learning Optimal Classification Trees Robust to Distribution Shifts"
ISMP 2024 (Montreal, Canada) - "Learning Optimal Classification Trees Robust to Distribution Shifts"
Machine Learning NeEDS Mathematical Optimization YOUNG Online Seminar Series (Virtual) - "Learning Optimal Classification Trees Robust to Distribution Shifts"
INFORMS 2023 (Phoenix, Arizona) - "Learning Optimal Classification Trees Robust to Distribution Shifts"
ICSP 2023 (Davis, California) - "Learning Optimal Classification Trees Robust to Distribution Shifts"
SIAM OPT 2023 (Seattle, Washington) - "Learning Optimal Classification Trees Robust to Distribution Shifts"
ShowCAIS 2023 (Los Angeles, California) - "Learning Optimal Classification Trees Robust to Distribution Shifts"
INFORMS 2022 (Indianapolis, Indiana) - "Optimal Robust Classification Trees"
ICCOPT 2022 (Bethlehem, Pennsylvania) - "Optimal Robust Classification Trees"
CPAIOR 2022 (Los Angeles, California) - "Optimal Robust Classification Trees"
IOS 2022 (Greenville, South Carolina) - "Optimal Robust Classification Trees"
INFORMS 2021 (Anaheim, California) - "Optimal Robust Classification Trees"
CORS 2021 (Virtual) - "Optimal Robust Classification Trees"
MIP 2023 (Los Angeles, California) - "Learning Optimal Classification Trees Robust to Distribution Shifts"
MIP 2022 (New Brunswick, New Jersey) - "Optimal Robust Classification Trees"
AAAI 2022 (Virtual) - "Optimal Robust Classification Trees"
ShowCAIS 2023 (Los Angeles, California) - "Roundtable Discussion on Interdisciplinary AI at USC" (Moderator)
Viterbi Voices: The Podcast (Los Angeles, California) - "Nathan Justin's Path to Finding a Passion in Computer Science" (Interviewee)