Sarah Sant'Ana, B.S.
Office: 325 Psychology
M.S., Clinical Psychology, University of Wisconsin Madison, in progress
B.S., Psychology, University of North Dakota, 2015
My research focuses broadly on classification and prediction of addictive behaviors. Ultimately, I hope to 1) provide earlier feedback to individuals that they may have a substance use disorder 2) predict with temporal precision when individuals will engage in hazardous addictive behaviors (e.g. binge drinking episodes, re-initiation of substance use) and 3) develop and evaluate mobile interventions to deploy during these high-risk windows of time. I believe the best path to achieving these goals lies in application of machine learning techniques to large sets of novel, passively collected, and temporally dynamic data such as social media, cell phone use, location data, and more. Due to the rising demands within substance use treatment, using machine-assisted methods for classification and prediction of addictive behaviors may streamline the treatment process by encouraging individuals to seek treatment before substance use related problems become too severe, providing individuals with in-the-moment support that is not feasible within our current treatment system, creating more accessible means of support, and directing individuals to appropriate resources at times when treatment need is greatest or will have the most impact.
Additionally, I am committed to the support and dissemination of open science practices. I encourage all researchers to educate themselves on the importance of generating rigorously designed, transparent, and accessible research. There are many great resources available for information on how to start adopting open science techniques:
Social media and prediction of health behaviors.
Bradford, D.E., Fronk, G.E., Sant’Ana, S.J., Magruder, K.P., Kaye, J.T., Curtin, J.J. (2018). The need for precise answers for the goals of precision medicine in alcohol dependence to succeed. Neuropsychopharmacology. https://doi.org/10.1038/s41386-018-0112-y
Looby, A., & Sant’Ana, S. (2018). Nonmedical prescription stimulant users experience subjective but not objective impairments in attention and impulsivity. The American Journal on Addictions. https://doi.org/10.1111/ajad.12718
Selected Posters and Talks
Sant’Ana, S.J., Bradford, D.E., Starr, M.J., & Curtin, J.J. (2018, October). Risky or rational? Alcohol increases the subjective value of uncertain rewards in a reward decision-making task. Talk and poster presented at the 58th annual meeting of the Society for Psychophysiological Research, Quebec City, QB.
Sant’Ana, S.J. (2018, June). Preregistration and Machine Learning. Unconference session led at the 3rd annual meeting of the Society for the Improvement of Psychological Science, Grand Rapids, MI.
Bradford, D., Shireman, J., Fleming, M., & Kittleson, S. (2017, September). Drinking with the devil you don’t know and the one you can’t control: Alcohol’s effects during uncertain and uncontrollable stressors in the laboratory. Poster presented at the 31st annual meeting of the Society for Research and Psychopathology, Denver, CO.
Looby, A., & Kittleson, S. (2017, June). Nonmedical prescription stimulant users experience subjective but not objective impairments in attention and impulsivity. Poster presented at the 79th annual meeting of the College on Problems of Drug Dependence, Montreal, QB.
Holt, L. J., Looby, A., Ballard, A., Hightower, T., Kittleson, S., & Thune, E. (2016, October). Preventing and reducing non-medical prescription stimulant use: Effects of a peer-facilitated group enhancement intervention. Poster presented at the 50th annual meeting of the Association for Behavioral and Cognitive Therapies, New York, NY.