Talks and Presentations

Below is a list of talks I have given.

“How to Build Responsible AI Models)”

• New York University, Guest Lecture, MEng in Artificial Intelligence program, April 2025.

“Near Optimal Decision Trees in a SPLIT Second)”

• Duke University, Responsible AI Symposium*, February 2025.

“ROC Curves for Exploratory Data Analysis”

• Duke University, Guest Lecture, Theory and Algorithms in Machine Learning, CS 671, August 2024.

“What is different between these datasets?”

• Duke University, Research Milestone Presentation, May 2024.

“Bootstrapping and Conformal Prediction”

• Interpretable Machine Learning Lab, Statistics Reading Group, March 2024

“Large Language Models for Software Development”

• JP Morgan Innovation Week Speaker Series. London. June 2023.

“CODiT: Conformal Out-of-Distribution Detection in Time-Series Data”

• JP Morgan. Applied Innovation in AI: Anomaly Detection Reading Group. London. April 2023.

“Conformal Prediction for Resource Prioritisation in Predicting Rare and Dangerous Outcomes”

• NeurIPS Workshop on Human in the Loop Learning, 2022. Virtual. December 2022.

“On the Utility of Prediction Sets in Human-AI Teams”

• International Joint Conference in Artificial Intelligence (IJCAI). Vienna, July 2022.
• Workshop on Distribution Free Uncertainty Quantification (ICML). Virtual. July 2022.
• University of Cambridge, Department of Engineering, Cambridge, UK. June 2022.
• JP Morgan. Applied Innovation in AI. London. November 2022.