Owen Anderson

• First rotation: Bao Lab
• Stanford Graduate Fellowship (SGF)

• GPA: 3.886 / 4.00
• Founder/President: NeurEx (Neurotechnology Club), e-NABLE Cleveland
• Selected coursework: Neural Interfacing, Biomedical Instrumentation, Computational Perception, Bioelectric Phenomena, Intro to Artificial Intelligence

• Developing next-generation neural interfaces through polymer engineering and neuroscience.

• Biomarkers of sleep stage from dentate nucleus LFPs (analysis in progress)
• Vigilance-dependent attenuations of DBS-evoked potentials (manuscript in draft)
• Timing-dependent effects of dentate nucleus DBS on sensory processing (published)
• Automated rodent behavioral analysis for motor recovery post-TBI (manuscript in draft)

• Multimodal control layer combining EEG, EOG, and EMG for next-generation human–computer interaction.
• Co-founded the company; stepped back to an advisor role to pursue the Ph.D.

• Recruited 300+ student writers and built assignment, submission, website, and AI infrastructure.
• Founded the neurotechnology specialty; reviewed 100+ summaries from 30 writers.

• Founded a CWRU chapter manufacturing affordable 3D-printed prosthetics.
• Organized workshops on manufacturing and distribution; grew membership to 15+ in months.

• Founded CWRU’s neurotechnology club for hands-on EEG-based BCI projects.
• Built curriculum, workshops, and mentorship; secured >$10k funding; grew to 50+ members across 7 project teams.

Vigilance-dependent modulation of cortical evoked potentials elicited by dentate nucleus stimulation in post-stroke patients

Vigilance-dependent modulation of cortical evoked potentials elicited by dentate nucleus stimulation in post-stroke patients

• Agentic operating system for email, calendar, finances, network, and more (Python, Raspberry Pi, Jetson Orin Nano).

• Engine that turns a plain-English chess-variant description into a playable game.

• Quantified dentate-evoked cortical potentials across wake/sleep; sleep-stage attenuation informing adaptive DBS.

• Mentally controlled prosthetic for amputees without residual muscle function.
• Neurofeedback training, signal-processing pipeline, and validated real-time simulation control.

• GUI-based DeepLabCut workflow for Open-Field, NOR, and EPM; motor-recovery trends (manuscript in draft).

• Real-time visual neurofeedback boosting mu/beta desynchronization; >40% ERD increase during training.

• Millisecond-scale timing and frequency-specific effects on SSEPs; published in Journal of Neurophysiology (2025).