Nathaniel Haines

Nathaniel Haines

Computational Psychologist & Data Scientist, PhD

Aivo Health

I am a computational psychologist and data scientist with expertise in clinical and mathematical psychology. Generally, my work seeks to understand how people learn to think, feel, and act as they experience the world. To do so, I use a combination of techniques including cognitive/computational modeling, Bayesian analysis, machine learning, reinforcement learning, and decision theory. My goal is to use this understanding to help develop scalable mental health treatments for cases when people’s thoughts, emotions, and behaviors become difficult to cope with, harmful, or otherwise unwanted. Examples include impulsivity- (e.g., substance use), anxiety- (e.g., intolerance of uncertainty), and chronic pain-related (e.g., negative beliefs about pain) concerns.

I am currently working as a data scientist at Aivo Health, a healthcare start-up where we are developing a virtual clinic to personalize treatments for chronic pain. Aivo integrates theories of reinforcement learning found in psychology and neuroscience with computational modeling techniques developed in computer science, with the goal of optimizing person-level treatment decisions and quickly alleviating chronic pain.

Download my CV.

Interests
  • Scalable Mental Health Treatments
  • Clinical and Mathematical Psychology
  • Bayes <3
  • Computational Modeling
  • Reinforcement Learning
Education
  • Ph.D. in Psychology, 2021

    The Ohio State University

  • M.A. in Psychology, 2017

    The Ohio State University

  • B.A. in Psychology, 2015

    The Ohio State University

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