Peer-reviewed Publications / Preprints

Clinical Trial Design and Implementation

  • Dres, M., Ewert, R., Conrad, S. A., Ataya, A., Shrager, J., Mortaza, S., Delamaire, F., Nilius, G., Heine, A., Mehta, N., Ways, J., Evans, D., Paulon, G., Khandwala, F., Berry, N., Viele, K., and others (2025). Temporary Transvenous Diaphragm Neurostimulation for Weaning from Mechanical Ventilation (RESCUE-3). American Journal of Respiratory and Critical Care Medicine
  • Pradilla, G., Ratcliff, J. J., Hall, A. J., Saville, B. R., Allen, J. W., Paulon, G., and others (2024). Early minimally invasive removal of intracerebral hemorrhage trial. New England Journal of Medicine 390, 1277-1289

Drift-Diffusion Models for Decision Making with Applications in Neuroscience

Other Miscellaneous Interests

Teaching

During my time as a PhD student at the University of Texas at Austin, I designed and taught the course “Statistical Learning and Inference” to a class of about 50 upper-level undergraduate students twice (Fall 2019 and Fall 2020). The course introduced students to ideas of statistical learning and predictive modeling from a statistical, theoretical and computational perspective. All course materials are publicly available here.

Talks & Presentations

  • Invited talk: Planning for Heterogeneous Treatment Effects: Enrichment for Treatment-Sensitive Patient Populations. Society for Clinical Trials (SCT), Vancouver (Canada); May, 2025
  • Invited talk: Forecasting with Confidence: Harnessing Predictive Probabilities in Practice. Society for Clinical Trials (SCT), Boston, MA; May, 2024
  • Invited talk: ENRICH: A Novel Approach to Clinical Trials in ICH. Midwest Biopharmaceutical Statistics Workshop (MBSW), Indianapolis, IN; June, 2024
  • Session chair: Real World Experience in Conducting Adaptive Platform Trials. Speakers: Ed Mills (Cytel), Michelle Detry (Berry Consultants, LLC), Anna McGlothlin (Berry Consultants, LLC), Hong Yu (Massachusetts General Hospital). Society for Clinical Trials (SCT), San Diego, CA; May, 2022
  • Dissertation Defense: Bayesian partition models for local inference in longitudinal and survival data. The University of Texas at Austin; August, 2021
  • Invited talk: Bayesian semiparametric longitudinal drift-diffusion mixed models for tone learning. Joint Statistical Meetings (JSM), Seattle, WA; August, 2021
  • Invited talk: Bayesian semiparametric longitudinal drift-diffusion mixed models for tone learning. International Society for Bayesian Analysis (ISBA), Kunming (China); July, 2021
  • Invited talk: Dependent mixtures: Modeling cell lineage. International Chinese Statistical Association (ICSA), Houston, TX; December, 2020
  • SDS Seminar Series: Bayesian semiparametric longitudinal drift-diffusion mixed models for tone learning. The University of Texas at Austin; February, 2020
  • Poster: Bayesian autoregressive models for waiting times of recurrent events. Bayesian Young Statisticians Meeting (BAYSM), Florence (Italy); June, 2016