Bio

Owen Anderson is a first-year PhD student in Bioengineering at Stanford University. He earned his B.S. in Neuroscience from Case Western Reserve University, with minors in Computer Science and Mathematics. Prior to Stanford, he spent two years in the Baker and Machado labs at the Cleveland Clinic, contributing to preclinical and early-phase clinical studies of cerebellar deep brain stimulation for movement disorders and post-stroke motor recovery. At Case Western, he founded and led the Neurotechnology Club, directing an engineering team that prototyped an EEG-driven prosthetic hand using brain-computer interface methods and real-time neural signal processing. He also serves as Associate Director of the nonprofit Eleos, where he leads the AI in Medicine initiative — a curated database of AI–medicine literature designed to help clinicians and engineers integrate AI into neuromodulation and neurotechnology workflows. His research interests center on novel neural interfaces for high-spatiotemporal-resolution recording and stimulation, toward translational brain-machine systems and neuromodulatory therapies.

Honors & Awards

  • Stanford Graduate Fellowship, Stanford University
  • Stanford Graduate Fellowship, Stanford University (Apr 2026)

Education & Certifications

  • Bachelor of Science, Case Western Reserve University, Neuroscience (2026)
  • B.S., Case Western Reserve University, Neuroscience (2026)

Contact

  • Academic
    owenand@stanford.edu
    University - Student Department: Bioengineering Position: Graduate

Links

Research Interests

  • Artificial intelligence (AI)
  • Design-based research
  • Embodied Cognition
  • Human-Computer Interaction

Current Research and Scholarly Interests

Soft implantable ultrasonic interfaces for brain stimulation and recording.

All Publications

  • Timing- and frequency-specific effects of dentate nucleus deep brain stimulation on somatosensory-evoked potentials in people with poststroke hemiparesis. Journal of neurophysiology Slobodin, N., Anderson, O., Dullur, P., Escobar Sanabria, D., Mandava, N., Singh, A., Toth, C., Machado, A. G., Baker, K. 2025; 134 (2): 559-567

    Abstract

    Deep brain stimulation (DBS) of the dentate nucleus (DN) is being investigated as a therapy to enhance perilesional cortical excitability and promote motor recovery for individuals with chronic, poststroke motor deficits. Given that acute motor changes are not anticipated, DBS optimization would benefit from surrogate markers of stimulation's effect on cortical excitability. Here, we evaluate whether continuous and paired DN stimulation modulates somatosensory-evoked potentials (SSEPs), providing first in-human insight into their candidacy as a tool for device programming. SSEPs were collected from participants in a phase I DN DBS clinical trial to characterize the effects of continuous and paired stimulation on SSEP response characteristics. Continuous low-frequency DBS did not yield significant changes in short-latency peak-to-peak amplitude, though high-frequency stimulation yielded significantly lower peak-to-peak amplitude during double, but not single, pulse SSEP (64% of baseline, P < 0.05). As interstimulus interval (ISI) between SSEP and DBS was increased, short-latency power decreased (P < 0.005), with greatest power at an ISI of 0 ms (156% of baseline, P < 0.05). Our results support involvement of DN output in both early and late SSEP components. Modulation was modest and variable across subjects, limiting its potential role in therapeutic programming. Further work is required to elucidate the effects of lesion size and DBS lead placement.NEW & NOTEWORTHY We assessed SSEPs, a common clinical index of cortical excitability, as a candidate biomarker to optimize the programming of cerebellar neuromodulation devices for stroke recovery. Collected as part of a phase I clinical trial of deep brain stimulation for stroke, this work provides first in-human evidence that cerebellar stimulation acutely modulates both early and late stages of cortical sensory processing. We show that SSEPs, therefore, may be of future use for the programming of cerebellar neuromodulation devices.

    View details for DOI 10.1152/jn.00256.2025

    View details for PubMedID 40637506

    View details for PubMedCentralID PMC12315849