Anne Draelos, PhD
Assistant Professor
Ann Arbor
MI
48105,
[email protected]

Available to mentor
Anne Draelos, PhD
Assistant Professor
  • Qualifications
  • Center Memberships
  • Research Overview
  • Links
  • Recent Publications
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    Qualifications
    • Postdoctoral Associate
      Duke University, Neurobiology, 2022
    • PhD in Physics
      Duke University, 2018
    • MS in Electrical & Computer Engineering
      Duke University, 2018
    • BS in Physics
      North Carolina State University, 2012
    • BS in Computer Science
      North Carolina State Univesity, 2012
    Center Memberships
    • Center Member
      e-Health and Artificial Intelligence Initiative
    • Center Member
      Precision Health Initiative
    Research Overview

    Machine learning and statistical techniques to facilitate real-time analysis of high-dimensional neural and behavioral data.

    Links
    • http://draeloslab.org/
    Recent Publications See All Publications
    • Journal Article
      In vivo electrophysiology recordings and computational modeling can predict octopus arm movement
      Gedela NSS, Radawiec RD, Salim S, Richie J, Chestek C, Draelos A, Pelled G. Bioelectronic Medicine, 2025 Dec 1; 11 (1): DOI:10.1186/s42234-025-00166-9
    • Journal Article
      Methods for adaptive stimulations of neural latent dynamics in real time
      Draelos A. Brain Stimulation, 2025 Feb 26; 18 (1): 239 - 240. DOI:10.1016/j.brs.2024.12.080
    • Preprint
      Single unit electrophysiology recordings and computational modeling can predict octopus arm movement.
      Gedela NSS, Salim S, Radawiec RD, Richie J, Chestek C, Draelos A, Pelled G. 2024 Sep 19; DOI:10.1101/2024.09.13.612676
      PMID: 39345497
    • Proceeding / Abstract / Poster
      Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces
      Cubillos LH, Revach G, Mender MJ, Costello JT, Temmar H, Hite A, Zutshi D, Wallace DM, Ni X, Kelberman MM, Willsey MS, van Sloun RJG, Shlezinger N, Patil P, Draelos A, Chestek CA. Advances in Neural Information Processing Systems, 2024 Jan 1; 37:
    • Journal Article
      Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces
      Cubillos LH, Revach G, Mender MJ, Costello JT, Temmar H, Hite A, Zutshi D, Wallace DM, Ni X, Kelberman MM, Willsey MS, van Sloun RJG, Shlezinger N, Patil P, Draelos A, Chestek CA. 2025 Apr 17; 2024.10.03.616126 - 2024.10.03.616126. DOI:10.1101/2024.10.03.616126
    • Preprint
      Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
      Draelos A, Gupta P, Jun NY, Sriworarat C, Pearson J. 2021 Sep 2; arXiv, DOI:10.48550/arxiv.2108.13941
    • Preprint
      improv: A software platform for real-time and adaptive neuroscience experiments
      Draelos A, Loring MD, Nikitchenko M, Sriworarat C, Gupta P, Sprague DY, Pnevmatikakis E, Giovannucci A, Benster T, Deisseroth K, Pearson JM, Naumann EA. 2021 Feb 25; bioRxiv, DOI:10.1101/2021.02.22.432006
    • Journal Article
      Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
      Draelos A, Gupta P, Jun NY, Sriworarat C, Pearson J. Advances in Neural Information Processing Systems, 2021 Jan 1; 8: 6062 - 6074.
    Featured News & Stories
    Department News
    DCMB welcomes new faculty
    DCMB welcomes eight new faculty in 2022-2023.
    Department News
    DCMB welcomes Anne Draelos, PhD
    DCMB welcomes Anne Draelos, PhD