Rochester, Minnesota


McCaslin.Devin@mayo.edu Clinical Profile


Devin L. McCaslin, Ph.D., is an audiologist at Mayo Clinic who studies how the application of augmented human intelligence can assist in the triage, diagnosis and management of patients with dizziness and balance disorders. Dr. McCaslin's research includes using predictive modeling techniques to determine the best clinician for a patient's condition and which treatments are most effective.

Dr. McCaslin is also researching how new clinical laboratory techniques and accelerometers can help identify and direct the management and treatment of vestibular disorders. He is also developing new outcomes measures to more accurately track the effects of medical and rehabilitative treatments on patients diagnosed with dizziness disorders.

Focus areas

  • Augmented human intelligence. Dr. McCaslin has an operational machine learning model that he and his colleagues are training to predict the most appropriate type of clinician or specialist to treat patients with dizziness and balance disorders. He is also evaluating the systems performance for classifying different disorders that cause dizziness or imbalance and the effects of treatment.
  • Enhanced quantitative vestibular testing. Dr. McCaslin is developing and refining a computerized rotational head impulse test capable of reliably assessing the vertical semicircular canals of the ear. He is also working on new techniques to record and analyze otolith responses.
  • Outcomes for patients with dizziness. Dr. McCaslin is developing new patient-related outcomes that will more accurately track the effects of treatment on patients with complex forms of dizziness.
  • Fall tracking with accelerometers. Dr. McCaslin and colleague Kenton R. Kaufman, Ph.D., are collaborating on a funded project to evaluate the performance of different types of accelerometers to predict and identify falls in older adults.

Significance to patient care

Dr. McCaslin's hope is that his research helps patients with all forms of dizziness and balance disorders receive accurate diagnoses faster, at less cost and with better outcomes. He also aims to use augmented human intelligence to better classify the different disorders causing dizziness, enabling treatment to be personalized for individual patients based on their conditions.

Professional highlights

  • Fellow, American Speech-Language-Hearing Association, 2016-present
  • Deputy editor-in-chief, Journal of the American Academy of Audiology, 2013-present
  • President, American Balance Society, 2016-2018
  • Chair, National Audiology Research Conference, Vestibular Assessment and Rehabilitation, 2015
  • Distinguished Service Award, Tennessee Association of Audiologists and Speech Language Pathologists, 2014

Clinical Studies

See my clinical studies


See my publications


Primary Appointment

  1. Consultant, Division of Audiology, Department of Otorhinolaryngology

Academic Rank

  1. Associate Professor of Audiology


  1. Ph.D. - Hearing Science The Ohio State University
  2. MS - Audiology Wayne State University
  3. BS - Communication Disorders Northern Michigan University

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