Research Items (4)

  1. Accepted: Annals of Applied Statistics (2022)

    2. Demetrios Papakostas, Richard Hahn, Jared Murray, Frank Zhou, and Joseph Gerakos

    Do forecasts of bankruptcy cause bankruptcy? A sensitivity analysis via indirect machine learning.
    Details on my main page. This was my first project as a graduate student, and is a cool read. Longer version with more graphs and detail here, click picture or title for published version. Link to the R-package associated with the paper and the code repository.

  2. Blog on Novel Neural Network Architecuture for Causal Inference(2022)

    3. Andrew Herren, Demetrios Papakostas, Richard Hahn, and Fransisco Castillo

    Deep Learning for Causal Inference using Neural Networks
    This is a joint effort to try and create a deep neural net framework for causal inference settings, where tree based methods currently are more frequently used. Developed using PyTorch. My contribution was primarily in the simulation studies and the writing, with help developing the code and infrastructure.

  3. Physical Review B (November 2018)

    4. Tran, Nguyen, Bloed, Evans, Anczarski, Martin, Toro, Papakostas, Beare, Wilson, Greedan, Luke, Gredig, Carlo, and Derakshan

    Low-temperature and dynamic magnetism of highly frustrated 5d2 Li4MgOsO6 polymorphs in comparison with 5d3 Li3Mg2OsO6
    I played a similar role in this paper as the inorganic chemistry paper. We additionally have some compounds we synthesized, characterized, and ran magnetic susceptibility tests at McMaster University. This may soon result in an additional publication if we can get neutron scattering measurements completed.

  4. Journal of Inorganic Chemistry (Sept. 2017)

    5. Milam-Guerrero, Bloed, Nguyen, Tran, Martin, Papakostas, Toro, Wilson, Carlo, Luke, Melot, Gu, and Derakshan

    Synthesis, Crystal Structure, and Magnetic Properties of the Highly Frustrated Orthorhombic Li4MgReO6
    This was a paper published on work done as an undegrad physics researcher. My primary contribution was help in muon-spin relaxation measurement portion of the paper.

Working Drafts (2)

  1. Working Draft (2023)
    95%

    2. Demetrios Papakostas, Samantha Brozak, and P.Richard Hahn

    Interpretable causal inference for asynchronous epidemics
    Here, we develop a framework to study the causal effects of vaccinations on the severity of covid outbreaks in the U.S. This is a difficult observational problem, but we carefully approach the problem, with an analysis that is both empirically justified and backed with simulations.

  2. Working Draft (2022)
    85%

    3. Xiangwei Peng, Demetrios Papakostas, Richard Hahn

    Bio-informatics work
    Product of work on DARPA echo project. R-package developed to use the methods, although still private prior to publication.

Software

  1. SFPSA

    2. Demetrios Papakostas

    Sensitivity analysis for self-fulfilling prophecies

    R package to implement the methods in the "Do forecasts of bankruptcy cause bankruptcy" paper.
Presentations, Posters, and Talks (9 total)

  1. ASU Institute for Social Science Research Poster Fair April 2023

    2. Arizona State University

    Accounting for Environmental and Soc ietal Heterogeneity to Assess Vaccination Efficacy

  2. RAND Statistics Group July 2021

    3. RAND Corporation

    Lagged Outcome Modeling & Do Forecasts of Bankruptcy Cause Bankruptcy?

  3. American Causal Inference Conference (poster) May 2020

    4. University of Texas

    Do Forecasts of Bankrupcty cause Bankruptcy?

  4. Arizona State University Institute for Social Science Research Fair (poster) April 2019

    5. Arizona State University

    Methods for Implying Causal Inference in Self-Fulfilling Prophecies

  5. Arizona State University RTG seminar (talk) April 2019

    6. Arizona State University

    Methods for Implying Causal Inference in Self-Fulfilling Prophecies

  6. Arizona State University RTG seminar (talk) November 2018

    7. Arizona State University

    Investigating the Causal Link between Auditors' Predictions and Bankruptcy

  7. APS Mid-Atlantic Section Meeting (poster) November 2017

    8. New Jersey Institute of Technology

    Synthesis and Structural Characterization of Double Perovskites

  8. APS Mid-Atlantic Section Meeting (poster) October 2016

    9. University of Delaware

    Geometrically Frustrated Double Perovskite Structural Characterization

  9. Villanova Research Symposium (poster) September 2016

    10. Villanova University

    Geometrically Frustated Double Perovskite Structural Characterization