Talks
Presentations¶
Dr. Doe regularly gives talks, workshops, and keynote presentations at conferences and universities on topics including open-source software, data science, and machine learning.
Workshop Host¶
2026
Introduction to Machine Learning with Python. Data Science Conference 2026. San Francisco, CA. March 15, 2026 (3 hours)
Cloud Computing for Scientific Research. Cloud Summit 2026. Seattle, WA. February 10, 2026 (2 hours)
2025
Open-Source Tools for Data Analysis. PyCon 2025. Pittsburgh, PA. April 20, 2025 (4 hours)
Deep Learning Workshop. NeurIPS 2025. Vancouver, Canada. December 8, 2025 (3 hours)
Invited Talks¶
(10+ invited talks at conferences and universities)
2026
“Scalable Data Science with Open-Source Tools.” Keynote at International Data Science Conference. New York, NY. April 5, 2026
“The Future of Open-Source Scientific Software.” Invited talk at Example University Colloquium. Boston, MA. March 1, 2026
2025
“Machine Learning for Environmental Science.” Invited talk at Environmental Data Summit. Denver, CO. October 15, 2025
“Building Open-Source Communities.” Invited talk at Open Source Summit. Austin, TX. June 20, 2025
Conference Proceedings¶
J. Doe, A. Smith. “Efficient distributed computing for large-scale data.” Proceedings of the International Conference on Data Engineering (ICDE). 2025.
B. Johnson, J. Doe. “Neural network architectures for spatial data.” Proceedings of the AAAI Conference on Artificial Intelligence. 2024.
Conference Presentations¶
2026
J. Doe. “Advances in open-source data science tools.” AAAS Annual Meeting. Phoenix, AZ. February 2026.
2025
J. Doe, A. Johnson. “Cloud-based machine learning pipelines.” AGU Fall Meeting. New Orleans, LA. December 2025.
J. Doe. “Open-source tools for reproducible research.” SciPy Conference. Austin, TX. July 2025.