Talks
Presentation record from my CV, with slides linked where available.
Invited talks
2026
- Flow-Based Conformal Predictive Distributions - STSDS online seminar, Oct 2026
- Flow-Based Conformal Predictive Distributions - Verisk Analytics, Inc., Boston, MA, Oct 2026
- Flow-Based Conformal Predictive Distributions - JSM, Boston, MA, Aug 2026
- Flow-Based Conformal Predictive Distributions - ICSA, Arlington, VA, June 2026
- Flow-Based Conformal Predictive Distributions - CMU, Pittsburgh PA, May 2026
- Flow-Based Conformal Predictive Distributions - UMD, College Park, MD, Mar 2026
- Locally Adaptive Conformal Inference for Operator Models - SIAM UQ, Minneapolis, MN, Mar 2026
- Flow-Based Conformal Predictive Distributions - Penn State University, University Park, PA, Feb 2026 · Slides
2025
- Locally Adaptive Conformal Inference for Operator Models - LACSC, Valparaiso Chile, Nov 2025
- Locally Adaptive Conformal Inference for Operator Models - CMU, Pittsburgh PA, Oct 2025 · Slides
- Locally Adaptive Conformal Inference for Operator Models - CUNY, NYC, NY, Oct 2025
- GraphMAGE: Graph Neural Networks for West Nile virus forecasting - JSM 2025, Nashville TN, Aug 2025 · Slides
- Locally Adaptive Conformal Inference for Operator Models - UConn - Statistics, Storrs CT, Apr 2025
- Locally Adaptive Conformal Inference for Operator Models - UConn - Earth Sciences, Storrs CT, Apr 2025
- Quantifying uncertainty in climate projections with conformal ensembles - IMSI, Chicago IL, Mar 2025
2024
- GraphMAGE: Graph Neural Networks for West Nile virus forecasting - TIES 2024, Adelaide, Australia, Oct 2024
- Quantifying uncertainty in climate projections with conformal ensembles - South Dakota State University, Brookings, SD, Oct 2024
- A statistical learning approach to multi-model ensemble analysis - ENVR Workshop, Boulder, CO, Oct 2024 · Slides
- Quantifying uncertainty in climate projections with conformal ensembles - Climate Extremes Roundtable, Boulder, CO, Oct 2024
- Quantifying uncertainty in climate projections with conformal ensembles - JSM, Portland, OR, Aug 2024 · Slides
- Distributionally robust multi-model ensemble analysis with deep kernel learning - Brigham Young University, Provo, UT, Feb 2024
Earlier invited talks (2021-2023)
2023
- Distributionally robust multi-model ensemble analysis with deep kernel learning - Hunter College, NY, NY, Nov 2023
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes - ICDS, Santiago, Chile, Nov 2023 (Keynote) · Slides
- Distributionally robust Multi-model Ensemble Analysis - JSM, Toronto, Canada, Aug 2023
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes - EccoStat, Kyoto, Japan, July 2023
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes - SIAM GS23, Bergen, Norway June 2023
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes - ICSA, Ann Arbor, MI June 2023
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes - IISA, Golden, CO May 2023
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes - Notre Dame, South Bend, IN, Apr 2023
2022
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes - IMSI, Chicago IL, Sept 2022
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes - JSM, Washington DC, Aug 2022
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes - NRC, Fairfax, Aug 2022
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes - ISBA, Montreal, June 2022
- Sliced Elastic Distance for Climate Model Validation - ICSA, Gainesville, June 2022
- Multi-model Ensemble Analysis with Neural Network Gaussian Processes - ATD, Fairfax, May 2022
2021
- Variational target encoding for climate model integration - JSM, Seattle, July 2021
- Elastic depths for identifying shape anomalies in functional data - ISI WSC Virtual, July 2021
Other presentations
2025
- Locally Adaptive Conformal Inference for Operator Models - Sandia National Laboratories, Albuquerque NM, Jun 2025
2024
- Validating Climate Models with Spherical Convolutional Wasserstein Distance - NeurIPS, Vancouver BC, Dec 2024 (Spotlight)
Earlier presentations (2018-2020)
2020
- Variational target encoding for climate model integration - AGU Fall Meeting, San Francisco, Dec 2020
- Variational target encoding for climate model integration - CISL Climate Informatics, Oxford, Sept 2020 (Spotlight)
- Fast functional change point detection with total variation denoising - JSM, Philadelphia, July 2020
- Evaluating proxy influence in assimilated paleoclimate reconstructions - ENAR 2020 Spring Meeting, Nashville, Mar 2020
2019
- Evaluating proxy influence in assimilated paleoclimate reconstructions - AGU Fall Meeting, San Francisco, Dec 2019
- Evaluating proxy influence in paleoclimate reconstructions - ICSA Midwest Chapter Meeting, Chicago, Oct 2019
- Elastic depths for identifying shape anomalies in functional data - 62nd World Statistical Congress, Kuala Lumpur, Aug 2019
- Evaluating proxy influence in paleoclimate reconstructions - JSM, Denver, Aug 2019
- Functional change point detection with non-negative matrix factorization - MARTIAN’s Symposium, Sandia National Labs, July 2019
- An introduction to non-negative matrix factorization - Intern Symposium, Sandia National Labs, June 2019
- Identifying phase and amplitude extremes in functional data with elastic depth - Statistics Graduate Student Seminar (UIUC), Champaign, Mar 2019
- Testing the exchangeability of two spatiotemporal processes with applications to data assimilation - Illinois Climate Seminar (UIUC), Champaign, Mar 2019
2018
- Evaluating proxy influence in data assimilation algorithms - Bohrer Workshop (UIUC), Champaign, Nov 2018
- Evaluating proxy influence in data assimilation based climate field - CISL Climate Informatics (NCAR), Boulder, Sept 2018 (Spotlight)
- Evaluating proxy Influence and reconstruction skill in data assimilation based climate field reconstructions using extremal depth - Joint Statistical Meeting, Vancouver, July 2018
- Identifying phase and amplitude extremes in functional Data with elastic depth - Sandia/UIUC Tech Talks (UIUC), Champaign, Sept 2018
- Elastic depth for amplitude and phase in functional data - MARTIAN’s Symposium, Sandia National Lab, July 2018
- Elastic functional principal component regression - Intern Symposium, Sandia National Lab, July 2018