Nathaniel Haines

Nathaniel Haines

Data Scientist & Computational Psychologist, PhD

Ledger Investing


I am a data scientist and computational psychologist with 6+ years of experience developing bespoke probabilistic models of risky decision-making, counterfactual reasoning, reinforcement learning, and latent variable measurement. I use principles from machine learning, decision theory, causal inference, and psychometrics throughout my work. Altogether, this framework allows for me to extract reliable and meaningful signals from noisy observational data, enabling me to make the right data-driven decisions given imperfect or incomplete information.

Download my CV.

  • Bayesian Statistics <3
  • Risk Modeling
  • Computational Reproducibility
  • Uncertainty Quantification and Visualization
  • Clinical and Mathematical Psychology
  • 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


Bayesian Statistics
Computational Modeling


Ledger Investing
Senior Data Scientist
Oct 2022 – Present Remote / Ohio

Responsibilities include:

  • Develop Bayesian forecasting, pricing, and cashflow models
  • Research novel methods for robust Bayesian model comparison
  • Build semi-automated reports for executive decision-making
  • Design internal software to improve model development and deployment
Aivo Health
Data Scientist
Sep 2021 – Oct 2022 Remote / Ohio

Responsibilities include:

  • Developed theoretical models of chronic pain
  • Built real-time data pipelines for in-app experience
  • Deployed models for real-time inference
  • Designed research studies and writing papers
The Ohio State University
Graduate Student Researcher
Aug 2016 – Jul 2021 Ohio

During my PhD., I:

  • Received the Presidential Fellowship for my dissertation research
  • Was instructor of record for 4 semesters of Abnormal Psychology
  • Trained in and conducted 400+ hours of cognitive behavioral therapy, motivational interviewing, acceptance and commitment therapy, and mindfulness based relapse prevention
  • Published my research in journals including Computational Psychiatry, Cognitive Science, Clinical Psychological Science, and Drug and Alcohol Dependence

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