Andre Goncalves, PhD

Machine Learning Research Scientist

andre@llnl.gov
LinkedIn Google Scholar ORCID

Selected publications

Selected to show breadth across methods and applications, with emphasis on current research directions, high-impact venues, and visible work from my Google Scholar profile.

  1. Goncalves, A. R., Pico, J. C., Hu, Y., Schlessinger, D., Greene, J., O'Suilleabhain, L., ... & Ray, P. (2025). AI-enabled diagnostic prediction within electronic health records to enhance biosurveillance and early outbreak detection. medRxiv. Link
  2. Reimer, R. J., Soper, B., Wilson, J. L., Goncalves, A. R., Cadena, J., Suarez, P., ... & Greene, J. (2026). Identification of drug repurposing candidates for amyotrophic lateral sclerosis using electronic health records: A retrospective cohort study. The Lancet Digital Health. Link
  3. Zhu, F., Rajan, S., Hayes, C. F., Kwong, K. Y., Goncalves, A. R., Zemla, A. T., Lau, E. Y., & colleagues. (2025). Preemptive optimization of a clinical antibody for broad neutralization of SARS-CoV-2 variants and robustness against viral escape. Science Advances, 11(13), eadu0718. Link
  4. Desautels, T. A., Arrildt, K. T., Zemla, A. T., Lau, E. Y., Zhu, F., Ricci, D., Cronin, S., Goncalves, A. R., & colleagues. (2024). Computationally restoring the potency of a clinical antibody against Omicron. Nature, 629(8013), 878-885. Link
  5. Goncalves, A., Ray, P., Soper, B., Stevens, J., Coyle, L., Sales, A. P., & others. (2020). Generation and evaluation of synthetic patient data. BMC Medical Research Methodology, 20(1), 108. Link
  6. Goncalves, A. R., & Von Zuben, F. J. (2016). Multi-task sparse structure learning with gaussian copula models. Journal of Machine Learning Research, 17(33), 1-30. Link
  7. Pan, B., Anderson, G. J., Goncalves, A., Lucas, D. D., Bonfils, C. J. W., Lee, J., Tian, Y., & colleagues. (2021). Learning to correct climate projection biases. Journal of Advances in Modeling Earth Systems, 13(10), e2021MS002509. Link
  8. Pan, B., Anderson, G. J., Goncalves, A., Lucas, D. D., Bonfils, C. J. W., & Lee, J. (2022). Improving seasonal forecast using probabilistic deep learning. Journal of Advances in Modeling Earth Systems, 14(3), e2021MS002766. Link
  9. Liu, X., Goncalves, A. R., Cao, P., Zhao, D., Banerjee, A., & colleagues. (2018). Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso. Computerized Medical Imaging and Graphics, 66, 100-114. Link
  10. Korshunov, P., Marcel, S., Muckenhirn, H., Goncalves, A. R., Mello, A. G. S., & colleagues. (2016). Overview of BTAS 2016 speaker anti-spoofing competition. In 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems. Link
  11. Goncalves, A. R., Ranganathan, H., Valdes, C., Zhu, H., Zhang, B., Kok, C. R., & colleagues. (2025). Beyond microbial abundance: Metadata integration enhances disease prediction in human microbiome studies. Frontiers in Microbiology, 16, 1695501. Link

For the full list and current citation counts, see my Google Scholar profile.