Yang Chen

Yang Chen

Assistant Professor of Statistics, Research Assistant Professor for MIDAS

Presentations

Abstracts of recent talks are available here.

2025

  1. TBD
    • Statistics Seminar at Oregon State University, Corvallis, OR, March 3rd, 2025.

2024

  1. Multi-instrument Cross-Calibration in Astronomy with Multiplicative Shrinkage [slides]
    • “Bayesian methods for astrophysics discovery based on big data,” 2024 World Meeting of the International Society for Bayesian Analysis (ISBA), Venice, Italy, July 1-7, 2024.
    • Physics and Astronomy Seminar at University of Alabama, Huntsville, October 17, 2023.
  2. Video Imputation and Prediction Methods with Applications in Space Weather
    • Statistics Seminar, Duke University, January 11, 2024.
    • Statistics Seminar, Rice University, February 14, 2024.
    • Statistics Seminar, University of California, Berkeley, February 22, 2024.
    • Statistics Seminar, Cornell University, Ithaca, March 13, 2024.
    • Statistics Seminar, University of Waterloo, Canada, March 26, 2024.
    • The Joint Statistical Meetings (JSM), Portland, OR, August 3-8, 2024.
  3. Comparison of Goodness–of–fit Assessment Methods with C Statistics in Astronomy [slides]
    • International CHASC Astro-Statistics Collaboration Seminar Series, Harvard University, Cambridge, MA, February 28, 2024.
  4. Current Status of Data-Driven Solar Eruption Forecasting Methods [slides]
    • NASA CLEAR Center Kick-off Meeting, University of Michigan, Ann Arbor, MI, January 25-26, 2024.
  5. Tensor Gaussian Process With Contraction For Multi-channel Imaging Analysis
    • Midwest Machine Learning Symposium (MMLS 2024), Minneapolis, MN, May 20-21, 2024.
    • 2024 WNAR/IMS/Graybill Annual Meeting, Fort Collins, CO, June 9-12, 2024.
  6. Summary of Our Past Work on Data-Driven Approaches for Space Weather [slides]
    • NASA SWORD Center Kick-off Meeting, University of Colorado Boulder, February 28, 2024.
  7. Statistical Models for Solar Flare Predictions
    • AOGS (Asia Oceania Geosciences Society) 2024, 21st Annual Meeting, Gangwon-do, Korea, June 23-28, 2024.
  8. Matrix Autoregressive Model with Vector Time Series Covariates for Spatio-Temporal Data
    • 26th International Conference on Computational Statistics (COMPSTAT 2024), University of Giessen, 27-30 August 2024.
  9. Data-Analytic Opportunities and Challenges in Solar Eruption Forecasting [slides]
    • Electrical and Computer Engineering (ECE) Communications and Signal Processing (CSP) Seminar Series, University of Michigan, Ann Arbor, April 18, 2024.
    • Seminar, National Solar Observatory (NSO), Boulder, CO, June 11, 2024.
    • 2024 INFORMS Annual Meeting in Seattle, WA, October 20-23, 2024.
  10. Discussion of “Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection” by Kes Ward, Giuseppe Dilillo, Idris Eckley & Paul Fearnhead (2023), Journal of the American Statistical Association, DOI: 10.1080/01621459.2023.2235059.
    • JASA Applications & Case Studies Discussion Session, Joint Statistical Meeting, Portland, OR, August 3-8, 2024.

2023

  1. Data-Driven Approaches to Space Weather Prediction Problems
    • Data, Analysis, and Software in Heliophysics (DASH) Conference, JHU/APL, Laurel, MD, October 9-11, 2023.
  2. Video Imputation and Prediction Methods with Applications in Space Weather [slides]
    • Statistics Colloquium at Michigan State University, East Lansing, Michigan, September 7, 2023.
    • Statistics Colloquium at Auburn University, Virtual, September 13, 2023.
    • Statistics Colloquium at Simon Fraser University, Vancouver, Canada, November 17, 2023.
    • Statistics Seminar at University of Washington, Seattle, Virtual, December 8, 2023.
  3. Tensor Gaussian Process With Contraction For Multi-channel Imaging Analysis [slides]
    • 2023 INFORMS Annual Meeting, Phoenix, Arizona, October 15-18, 2023.
  4. Model fitting and goodness-of-fit in astrophysics [slides]
    • The Joint Statistical Meetings (JSM), Ontario, Canada, August 5-10, 2023.
    • CHASC Weekly Seminar Series, Virtual, June 9, 2023.
  5. Statistical Issues in Instrument Calibrations and Goodness-of-fit in Astrophysics [slides]
    • 64th ISI World Statistics Congress, Ottawa, Canada, July 16-20, 2023.
  6. Discussions on Goodness-of-fit and Instrument Calibration in High Energy Physics Observations
    • IACHEC CalStats Working Group, Virtual, April 25, 2023.
  7. Statistical Models for Solar Flare Predictions
    • AI in Science and Engineering Symposium, University of Michigan, Ann Arbor, April 3, 2023.
    • Ann Arbor Chapter of American Statistical Association, Virtual, April 4, 2023.
    • Statistical Challenges in Modern Astronomy VIII, Penn State University, State College, PA, June 15, 2023. [slides]
    • AOGS (Asia Oceania Geosciences Society) 2023, 20th Annual Meeting, Virtual, July 30-August 4, 2023.
    • Workshop on Machine Learning, Data Mining, and Data Assimilation in Geospace (LMAG 2023), JHU/APL, Laurel, MD, August 21 - 24, 2023. [slides]
    • NASA’s Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, October 24, 2023. [slides]
    • “Astrostatistics in Canada & Beyond” BIRS workshop, Banff Centre, Banff, AB, Canada, October 30 - November 3, 2023. [slides]
  8. Explainable Sym-H forecasting with Gradient Boosting Machines [slides]
    • Magnetosphere Online Seminar Series, Virtual, March 13, 2023.
  9. Data Assimilation for Space Weather Modeling Framework (SWMF) [slides]
    • 2023 SWQU Spring Meeting, Cambridge, MA, March 9-10, 2023.

2022

  1. Physical Science: AI in Space Weather Forecasting [slides]
    • U-M Annual Data Science and AI Summit, Ann Arbor, MI, November 14-15, 2022.
  2. Solar Flare Forecasting with Machine Learning and Novel Statistical Models [slides]
    • 2022 Triennial Earth-Sun Summit, Seattle, WA, August 8-11, 2022.
  3. Goodness-of-fit in Astronphysics
    • CHASC Workshop, Cambridge, MA, August 2-4, 2022.
  4. Data Science Challenges in Space Weather [slides]
    • The Big Data Summer Institute’s Concluding Symposium, Ann Arbor, Michigan, July 28, 2022.
  5. Statistical and machine learning approaches to solar flare forecasting
    • UDP (Universidad Diego Portales, Santiago, Chile) SEMINARIOS DATA SCIENCE YEAR, Virtual, June 29, 2022.

  6. Panelist for “Perspectives on the evolution of statistics within the data science landscape”, 11th annual ASA 2022 UP-STAT Conference in Statistics, SUNY University at Buffalo, Virtual, May 2-4, 2022. [slides]

  7. Advancing Space Science with Data-Driven Methods [slides]
    • Space Weather Workshop 2022, “Collaboration: Advancing the Space Weather Enterprise”, Virtual, April 26-28, 2022.
  8. Video Imputation and Prediction Methods in Space Weather [slides]
    • Neyman Statistics Seminar, Department of Statistics, University of California, Berkeley, March 30, 2022.
    • Statistics Seminar, Department of Statistics, University of Washington, Seattle, May 20, 2022.

2021

  1. Statistical And Computational Problems In Space Weather Data Challenges
    • INFORMS Annual Meeting, October 27, 2021, Virtual.
  2. Matrix Completion Methods for the Total Electron Content Video Reconstruction
    • Statistical Methods for the Physical Sciences (STAMPS) Webinar at Carnegie Mellon University, Virtual, October 8, 2021.

  3. Discussant for “Statistical and Machine Learning Efforts on Solar Flare Predictions II - Topic Contributed Papers” at the Joint Statistical Meeting, Virtual, August 12, 2021.

  4. Strange bedfellows: Statistics, Machine Learning and Space Science, SOLSTICE (Solar Storms and Terrestrial Impacts Center) Science Seminar Series, University of Michigan, Ann Arbor, May 13, 2021.

  5. Statistical and Computational Problems in Space Weather Data Challenges
    • Statistics Seminar, Department of Mathematical Sciences, New Jersey Institute of Technology, April 8, 2021.
    • Seminar, Institute for Space Sciences, New Jersey Institute of Technology, February 25, 2021.
    • Seminar, Department of Statistics, Ohio State University, February 18, 2021.

2020

  1. Solar Flare Predictions with Machine Learning, invited talks.
    • Special Session “Machine Learning in Space Weather”, the American Geophysical Union (AGU) Fall Meeting, virtual, December 15, 2020.
    • 4th SWMF Users Meeting, virtual, November 6, 2020.
    • Workshop on machine Learning, data Mining and data Assimilation in Geospace (LMAG2020), virtual, September 22, 2020.
    • Space Weather Applications of Machine Intelligence (SWAMI) Seminar Series, University of Colorado, Boulder, virtual, September 10, 2020.
    • SDO/STEREO ML Science Meeting, virtual, August 5, 2020.
    • Keynote speaker, Michigan Student Symposium for Interdisciplinary Statistical Sciences, Ann Arbor, MI, February 27, 2020.
    • American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, December 11, 2019.
    • Symposium on Big Data, Human Health, and Statistics, University of Michigan, Ann Arbor, MI, July 25, 2019.
    • 2019 ICSA China Conference, Tianjin, China, July 2, 2019.
    • 3rd International Conference on Econometrics and Statistics (EcoSta 2019), National Chung Hsing University, Taiwan, June 26, 2019.
    • ICSA 2019 Applied Statistics Symposium, Raleigh, NC, June 10, 2019.
    • 3rd SWMF (Space Weather Modeling Framework) Users Meeting, University of Michigan, Ann Arbor, MI, March 4, 2019.

2019

  1. Calibration Concordance for Astronomical Instruments, invited talks.
    • Virtual 238th Meeting of the American Astronomical Society (AAS 238), “(Special Session) Unaccounted Uncertainties: The Role of Systematics in Astrophysics”, 7 June 2021.
    • International CHASC AstroStatistics Centre, Topics in Astrostatistics, Harvard University, September 8, 2020.
    • School of Statistics Seminar, University of Minnesota, October 24, 2019;
    • Special Session by WiSDM, AWM (Association for Women in Mathematics) Symposium, Rice University, April 6, 2019;
    • Statistics Seminar, University of Notre Dame, March 5, 2019;
    • Statistics Seminar, Duke University, February 22, 2019;
    • 2018 Big Data Summer Institute (BDSI 2018) Symposium, University of Michigan, Ann Arbor, MI, July 2018;
    • 2017 Data Science Research Forum, Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, December 2017;
    • The Joint Statistical Meetings, Chicago, IL, August 2016.
  2. Topics in Bayesian Inference: Specification of Prior Distributions, Earth, Climate and Coffee, Climate and Space Sciences and Engineering, University of Michigan, February 15, 2019.

2018

  1. Hidden Markov Model (HMM) Order Selection
    • International Society for Bayesian Analysis (ISBA) World Meeting 2021, Virtual, June 28, 2021;
    • CFE-CMStatistics 2018, Pisa, Italy, December 15, 2018;
    • Computational Statistics and Molecular Simulation: A Practical Cross-Fertilization, CMO-BIRS, Oxaca, Mexico, November 12, 2018;
    • MIDAS Seminar, University of Michigan, Ann Arbor, MI, October 12, 2018;
    • Advances in Finite Mixture Models, Guilin, China, August 2018.

  2. Tutorial on Bayesian Inference and Computation, Massive and heterogeneous data and knowledge (LaHDAK) Seminar, laboratoire de Recherche en Informatique, Universite Paris-Sud, France, December 10, 2018.

  3. Delineating Protein Transportation Processes: Hierarchical Models for Single-Molecule Data
    • Institut Curie - Paris, France, December 3, 2018;
    • Collaborative Research Center Seminar, Georg-August-University G ̈ottingen, Germany, November 22, 2018;
    • Statistics Seminar at University of Michigan, University of California, Berkeley, Columbia University, Rutgers University, etc., January 2017;
    • The New England Statistics Symposium, University of Connecticut, Storrs, CT, April 2015.
  4. A second look at cstat, CHASC meeting, Harvard University, Cambridge, MA, October 30, 2018.

2017

  1. Predictive Models for Molecular Data, Women in Data Science and Mathematics Research Collaboration Workshop (WiSDM), ICERM, Brown University, Providence, RI, July 2017.

  2. The Bayesian Statistics behind Calibration Concordance, AAS 230 (230th Meeting of the American Astronomical Society): Special Session “Topics in AstroStatistics”, Austin, TX, June 2017.

2014-2015

  1. When MCMC goes online, The Joint Statistical Meetings, Seattle, WA, August 2015.

  2. Greedy (Griddy) Parallel MCMC Algorithms, ResearchStats, Harvard University, Cambridge, MA, April 2015.

  3. Discovering the Universe with Dark Energy Camera, Olin College, Needham, MA, April 2014.

  4. Nice Curves: Enhancing Variable Star Astronomy through Data Science, poster, ComputeFest in School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, January 2014.