I have presented talks on machine learning, artificial intelligence, statistics, causal inference, and data science at conferences, universities, non-profit organizations, and private companies for both academic and business audiences around the world. I am comfortable presenting for beginner, intermediate, or advanced audiences.
In addition to my presentations, I also taught almost 100 students in two sections of an upper level machine learning and data science course at USC [syllabus].
If you’d like me to present a talk or tutorial for your organization, feel free to email me at gregory.faletto@marshall.usc.edu.
Past presentations
2025
- 90/30 Club (July 14 2025), “Predicting Rare Events by Shrinking Towards Proportional Odds.” [Blog post]
- Advertising Research Foundation‘s 2025 AUDIENCExSCIENCE conference (March 25 2025), “Innovations in Cross-Screen Incremental Outcome Measurement.” [Blog post] [Video]
2024
- VideoAmp (June 7 2024), “A Crash Course on Transformers and LLMs.”
- Workshops for Ukraine (May 23 2024), “Conducting Simulation Studies in R.” [Blog post]
- You can access the recording, slides, and code by donating 20 euro to your choice of organization supporting Ukraine. See details here.
- VideoAmp (April 5 2024), “Doubly-Robust Estimation of Advertising Uplift.”
- University of Southern California Causal Inference Reading Group (February 8 2024), “Fused Extended Two-Way Fixed Effects for Differences-in-Differences.” [Blog post] [Slides] [Paper]
2023
- VideoAmp (September 6 2023), “Conformal Prediction.”
- Data Con LA (August 12 2023), “Predicting Purchases, Rare Diseases, and More: Using Ordinal Regression to Estimate Rare Event Probabilities.” [Video] [Blog post] [Slides and code]
- International Conference on Machine Learning, (July 26 2023), “Predicting Rare Events by Shrinking Towards Proportional Odds” (poster session; joint with Jacob Bien). [More information]
- University of Southern California Marshall School of Business (June 29 2023), Tutorial on Monte Carlo simulations for USC JumpStart. [Slides and code] [Blog post]
- VideoAmp (June 7 2023), “Fused Extended Two-Way Fixed Effects for Differences-in-Differences.” [Paper]
- Zuckerberg San Francisco General Hospital and the Division of Cardiology (May 22 2023), “Leveraging Sparsity in Theoretical and Applied Machine Learning and Causal Inference.” [Slides]
2022
- University of Southern California Marshall School of Business, Department of Data Sciences and Operations Statistics Ph.D. Student Seminar (December 2 2022), “Predicting Rare Events by Shrinking Towards Proportional Odds.” [Paper] [Slides]
2021
- University of Southern California Marshall School of Business, Department of Data Sciences and Operations Statistics Ph.D. Student Seminar (April 23 2021), “Generalized Stability Selection.” [paper]
2020
- Copenhagen Workshop On Algorithmic Fairness (University of Copenhagen) (Nov. 13 2020) “Fair Decisions, Hard and Soft.”
- Presentation on accounting for more than one measure of algorithmic fairness. Joint work with Prof. Kenneth Silver (Trinity College Dublin).
- IM Data Conference 2020 (Nov. 3 2020), “Data-Driven Forecasts of Local COVID-19 Risk in Los Angeles.”
- Presenting our winning solution from the 2020 COVID-19 Computational Challenge hosted by RMDS and the City of Los Angeles. Joint work with Mohammad Mehrabi.
- University of Southern California Marshall School of Business, Department of Data Sciences and Operations Statistics Ph.D. Student Seminar (March 25 2020), “Generalized Stability Selection.” [paper]
2019
- Orange County R Users Group (May 2019) Presented models that won “Best Model” at the Orange County R Users Group Hackathon 2019. [Blog post]