Ben Deverett, MD, PhD

Running a sham-controlled study of thalamic focused ultrasound in volunteers, and DSMB chair for an Attune Neurosciences trial.

Identifying which EEG biomarkers of propofol sedation reproduce across days and distinguish individuals (manuscript in preparation).

Designing an EEG-guided anesthetic protocol that safely and reliably promotes positive dreaming during surgery.

Developing software and hardware to perform closed-loop behavioral, pharmacologic, and EEG-based human studies.

Demonstrating that distinct cortical signatures of ketamine dissociate under wakefulness and anesthesia (JAMA Psychiatry).

Running clinical studies to test therapeutic applications of psychedelics and anesthetic medications for new purposes (trials ongoing).

Building and validating foundation models to unlock the predictive power of intraoperative data and guide clinical decisions (paper in press).

AI researcher at a healthtech startup, engineering and evaluating new AI tools to enhance healthcare delivery.

Quantifying how animals retain information in memory and use it to guide decisions, using measurement and perturbation of neural networks during learning and behavior.

Studying neuronal encoding rules using cellular-resolution two-photon imaging of the rodent brain.

Characterizing how the cognitive strategies of AI agents compare to those observed in neuroscience (at Google DeepMind), published and presented at NeurIPS.

Applying insights from neuroscience and clinical medicine to prepare for safe and ethical interactions with non-traditional consciousness.

Founded and led a Stanford-funded research training and mentorship platform for anesthesiologists at 5 hospitals across Guyana, Tanzania, Rwanda, and Vietnam, with measurable gains in research proficiency.

Principal investigator of a Stanford global health grant building simulation-based critical care training, patient transport protocols, and data-driven quality improvement at a rural Tanzanian hospital.

Teaching clinical and research skills at partner hospitals in Guyana and other international sites, including with ASA Global Humanitarian Outreach, and piloting simulation tools for training and patient care in low-resource operating rooms.

Consultant on long-term reversible pausing of neural and physiologic function for organ protection.

Using multi-institutional operating room data to uncover how anesthesiologist habits influence patient outcomes.

Identifying risk factors for neurologic injury in patients receiving cardiac mechanical support.

Bayesian modeling of human inference strategies for inferring causality between observed events.

Educating Princeton students in programming and math; and Stanford residents on intravenous anesthetics and neuroanatomy.

Open-source Python library for high-speed video capture using PlayStation Eye cameras.

Reimagining how we interact with keyboards in iOS to improve efficiency on touchscreens.

Using Amazon Mechanical Turk to study how we can represent measures of centrality in visual graph representations.

Arduino-based MIDI musical instrument based on frontal EEG signals

Numerous original musical production projects including for an award-winning musical.