Presentations

Invited Talks

• Ingram, J. D. (2021). On the Generative Process of Solar Flares: Non-Poisson Behavior [Invited Talk]. Electronic Undergraduate Statistics Research Conference.

Conference and Workshop Talks

• Ingram, J.D., Kashyap, V. L., Klingenberg, B., and Meng, X.-L. (2025). Systematic Errors in Solar Flare Statistics: When Poisson Assumptions Lead to Underestimated Uncertainties [Oral Presentation]. Sys2025: Systematic and Measurement Errors across the Sciences - AstroStatistics and Data Science.
• Ingram, J.D., Kashyap, V. L., Klingenberg, B., and Meng, X.-L. (2025). Solar Flare Statistics Don’t Follow Poisson: Overdispersion from Overlapping Active Regions [Oral Presentation]. International CHASC Astro-Statistics Center Workshop: Topics in Astrostatistics.
• Ingram, J. D., Carzon, J., Masserano, L., Shen, A., Riberio Jr., A. C. H., Dorigo, T., Doro, M., Speagle, J., Izbicki, R., and Lee, A. B. (2025). Trustworthy Scientific Inference for Inverse Problems with Generative Models: Application to Recovering Stellar Parameters from Gaia and APOGEE Survey Data [Poster Presentation]. STAMPS Workshop on Neural Simulation-Based Inference.
• Ingram, J. D., Kashyap, V. L., Wang, X., Meng, X.-L., and Klingenberg, B. (2022). Power-Law Estimation Via MPS: Theory and Applications [Oral Presentation]. International CHASC Astro-Statistics Collaboration Workshop.
• Ingram, J. D., Rau, G., and Carpenter, K. (2022). Analysis of the Chromospheric Structure of the K-giant Star Beta Ceti [Poster Presentation]. UV Science at Goddard Symposium.
• Ingram, J. D., Kashyap, V. L., Wang, X., Meng, X.-L., and Klingenberg, B. (2021). A Self-Consistent Approach to Estimating Solar Flare Power-Laws Within Proper Bounds [Poster Presentation]. American Geophysical Union Fall Meeting.
• Ingram, J. D., Kashyap, V. L., Klingenberg, B., Meng, X.-L., and Wang, X. (2021). On the Generative Process of Solar Flares [Poster Presentation]. Statistical Challenges in Modern Astronomy VII Conference.
• Ingram, J. D., Kashyap, V. L., Wang, X., Meng, X.-L., and Guliano, L. (2020). Bounded Power-Law Characterizations of Solar Flares: A Maximum Product of Spacings Approach [Poster Presentation]. American Geophysical Union Fall Meeting.
• Ingram, J. D., Kashyap, V. L., Wang, X., Meng, X.-L., and Guliano, L. (2020). Bounded Power-Law Characterizations of Solar Flares: A Maximum Product of Spacings Approach [Poster Presentation]. American Astronomical Society Solar Physics Division 51st Meeting.

Seminars and Department Talks

• Ingram, J. D. (2025). Incorporating Measurement Uncertainties in Stellar Label Estimation [Oral Presentation]. CMU Statistics & Data Science Advanced Data Analysis Seminar.
• Ingram, J. D. (2022). Securing and Maximizing Internships [Oral Presentation]. New College of Florida Data Science Seminar.
• Ingram, J. D. (2022). Astrostatistics: A Case for Better Statistical Literacy [Oral Presentation]. Center for Astrophysics NSF REU Programs.
• Ingram, J. D. (2022). Building Your Confidence in the Sampling Distribution [Oral Presentation]. New College of Florida Mathematics Seminar.
• Ingram, J. D. (2021). The Bayesian Approach to Modeling the World [Oral Presentation]. New College of Florida Mathematics Seminar.
• Ingram, J. D. (2020). Bounded Power-Law Characterizations of Solar Flares: A Maximum Product of Spacings Approach [Oral Presentation]. NSF-SAO Solar REU Seminar.
• Ingram, J. D. (2020). Power-Law Characterizations of Solar Flares [Oral Presentation]. International CHASC Astro-Statistics Collaboration Seminar.

Coauthor Talks and Posters

• Carzon, J., Masserano, L., Shen, A., Ingram, J. D., Riberio Jr., A. C. H., Dorigo, T., Doro, M., Speagle, J., Izbicki, R., and Lee, A. B. (2025). Trustworthy Scientific Inference for Inverse Problems with Generative Models [Poster Presentation]. Uncertainty Quantification and AI for Complex Systems.
• Perez-Diaz, V. S., Kashyap, V. L., Ingram, J. D., Drake, J. Fouhey, D., Martinez-Galarza, J. R., Garraffo, C., Kim, D.-W., and Protopapas, P. (2024). Resolving Ambiguous Gaia Matches to X-ray Sources in the Chandra Source Catalog Using Machine Learning [Poster Presentation]. American Astronomical Society 245th Meeting.
• Perez-Diaz , V. S., Ingram, J. D., Kashyap, V. L., Kim, D.-W., Martinez-Galarza, J. R., and Protopapas, P. (2024). Exploring Astronomical Catalog Crossmatching with Machine Learning [Poster Presentation]. NSF AI Institute for Artificial Intelligence and Fundamental Interactions 2024 Summer Workshop.
• Kashyap, V. L., Perez-Diaz, V. S., Ingram, J. D., Martinez-Galarza, J. R., Protopapas, P., Puigdomenech , F. F., Monsch, K., Drake, J., Garraffo, C., Kim, D.-W., and Mossman, A.,(2024). Cross-matching X-ray and Gaia Stars to Constrain Stellar Rotational Evolution [Poster Presentation]. 22nd Cambridge Workshop on Cool Stars, Stellar Systems, and the Sun.
• Perez-Diaz , V. S., Ingram, J. D., Kashyap, V. L., Kim, D.-W., Martinez-Galarza, J. R., and Protopapas, P. (2024). Enhancing Chandra-Gaia Crossmatching with Machine Learning [Poster Presentation]. American Astronomical Society High Energy Astrophysics Division 21st Meeting.
• Ingram, J.D., Kashyap, V. L., Klingenberg, B., and Meng, X.-L. (2023). Machine Learning Methods to Detect More Solar Flares [Oral Presentation]. Parker Heliophysics Scholars 6th Meeting.