Summary
Overview
Work History
Education
Skills
Websites
Publications
Technical Reports
Technical Skills
Timeline
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Michael Hunter

Albuquerque

Summary

Dynamic research and data science specialist with a strong focus on driving strategic decisions through applied research and analytics. Expertise in managing large-scale longitudinal datasets and developing predictive models that identify key performance indicators. Proven track record of collaborating with diverse stakeholders to enhance program effectiveness and inform policy initiatives.

Overview

19
19
years of professional experience

Work History

Research and Data Science Specialist

Freelance Consultant
02.2025 - Current
  • Directed applied research and analytics initiatives to enhance federal behavioral and public-health research programs.
  • Key contributions:
  • Designed and managed large-scale longitudinal datasets to effectively track behavioral and performance outcomes over multiple years.

Research Science Lead

Peraton, Inc
06.2021 - 11.2024
  • Directed applied research and analytics initiatives supporting federal behavioral and public-health research programs.
  • Designed and managed large-scale longitudinal datasets to effectively track behavioral and performance outcomes over multiple years.
  • Built predictive and diagnostic models identifying drivers of performance, resilience, and risk outcomes.
  • Developed automated data pipelines in R and Python for data cleaning, integration, and analysis across multiple sources.
  • Conducted inferential statistical analyses and prepared technical reports communicating findings to multidisciplinary stakeholders.
  • Produced executive-level dashboards and reports enabling informed strategic decision-making.
  • Provided technical leadership and mentorship, enhancing skills of research analysts and junior scientists.
  • Key contributions:

Behavioral Research Scientist

Leidos, Inc
05.2018 - 12.2020
  • Led evaluation and analytics for large-scale training and performance research initiatives, informing strategic program decisions.
  • Designed and executed survey-based research studies assessing training outcomes, resilience programs, and instructional interventions.
  • Developed analytic workflows for longitudinal evaluation of training effectiveness, enhancing data-driven insights.
  • Conducted regression, ANOVA, and mixed-methods analyses to identify predictors of performance outcomes.
  • Collaborated with interdisciplinary research teams and leadership to translate findings into program improvements.
  • Produced technical reports and presentations that effectively communicated analytic results to stakeholders.
  • Key contributions:

ASEE/NSF Postdoctoral Biomedical Research Fellow

QUASAR, Inc
11.2016 - 04.2018
  • Conducted interdisciplinary research to integrate cognitive science, machine learning, and physiological data, enhancing understanding of cognitive processes.
  • Developed predictive metrics for learning performance and cognitive workload, enabling targeted interventions in educational settings.
  • Built data pipelines and analysis frameworks to streamline integration of physiological and behavioral datasets, improving data accessibility for research.
  • Applied statistical modeling and machine learning methods to identify patterns in training data.
  • Key contributions:

NIH Postdoctoral Fellow

UNM Center for Brain Recovery and Repair
02.2016 - 11.2016
  • Conducted research on neurocognitive recovery and learning processes.
  • Key contributions:
  • Managed complex multimodal datasets, integrating neuroimaging and behavioral data to support research objectives.
  • Conducted statistical modeling to analyze learning and cognitive outcomes, informing future research directions.
  • Designed reporting dashboards and visualizations that facilitated data interpretation for interdisciplinary research teams.

NSF Graduate Research Fellow

UNM Clinical Neuroscience Center
06.2012 - 01.2016
  • Implemented and evaluated the effects of mindfulness-based and cognitive training with transcranial stimulation on neurocognitive performance and resting-state EEG and fMRI.
  • Designed studies, collected and managed data, conducted statistical analysis, reported on behavioral and neuroimaging findings, and supervised Research Assistants.
  • Generated multiple publications in scientific journals and delivered presentations at scientific conferences, enhancing visibility of research contributions.

Graduate Student Instructor

The University of New Mexico
08.2015 - 12.2015
  • Designed college course curriculum and developed instructional content for Statistical Principles course (PSY 200), teaching over 100 undergraduates and supervising two graduate Teaching Assistants.
  • Developed course materials for undergraduate classes in diverse subject areas.
  • Facilitated engaging discussions to enhance student understanding and participation.
  • Graded assignments and provided constructive feedback to support student learning.

Research Scientist II

VA Medical Healthcare System, Behavioral and Psychiatry Research
05.2007 - 05.2012
  • Conducted clinical research to evaluate cognitive and behavioral outcomes, informing future studies.
  • Designed and maintained research databases to support longitudinal clinical studies and enhance data integrity.
  • Performed statistical analyses including regression, ANOVA, and longitudinal modeling.
  • Coordinated research data collection and ensured IRB compliance, facilitating timely and accurate analytic reporting.
  • Supervised research assistants responsible for data coding and data management.
  • Key contributions:

Education

Ph.D. - Experimental Psychology

The University of New Mexico
01-2016

M.S. - Psychology

The University of New Mexico
01-2014

B.S. - Psychology, Statistics

The University of New Mexico
01-2009

B.A. - Philosophy, Sociology

The University of New Mexico
01-2009

Skills

  • Regression modeling
  • Longitudinal analysis
  • Hypothesis testing
  • ANOVA/MANOVA
  • Classification and predictive modeling
  • Machine learning
  • Quantitative analysis
  • Qualitative analysis
  • Survey design
  • Program and instructional evaluation
  • R
  • Python
  • SPSS
  • MATLAB
  • SQL
  • STATA
  • SAS
  • Database design
  • Data pipelines
  • Longitudinal dataset construction
  • Data reduction
  • Quality assurance protocols
  • Data governance
  • R Shiny
  • Ggplot2
  • Tableau
  • Technical and academic reporting
  • Stakeholder presentations

Publications

  • Belding, J.N., Englert, R.M., Fitzmaurice, S., Jackson, J., Koenig, H., Hunter, M.A., Thomsen, C.J., da Silva, U.O., Potential health and performance effects of high-level and low-level blast: a scoping review of two decades of research., Frontiers in Neurology, 2021, 12
  • Quinn D.K, Story-Remer J., Brandt, E., Hunter M.A., Richardson J.D., Clark V.P., Yeo R., Shuttleworth C.W., And Mayer A.R., Cerebral Perfusion Effects of Cognitive Training and Transcranial Direct Current Stimulation in Mild-Moderate TBI., Frontiers in Neurology, 2020, 11
  • Robinson, C.S., Armenta, M., Combs, A., Lamphere, M., Garza, G.J., Neary, J. Wolfe, J.H., Molina, E., Semey, D.E., Mckee, C.M., Gallegos, S.J., Jones, A.P., Trumbo, M.C., Al-Azzawi, H., Hunter, M.A..., Witkiewitz, K., Modulating Affective Experience and Emotional Intelligence with Loving Kindness Meditation and Transcranial Direct Current Stimulation: A Pilot Study., Social Neuroscience, 2019, 16
  • Hunter, M.A., Lieberman, G., Coffman, B.A., Trumbo, M.C., Armenta, M.L., Robinson, C.S.H., Bezdek, M.A., O'Sickey, A.J., Jones, A.P., Romero, V., Mindfulness-based training with transcranial direct current stimulation modulates neuronal resource allocation in working memory: A randomized pilot study with a nonequivalent control group., Heliyon, 2018, 4, 7, e00685
  • Godwin, C. A., Hunter, M. A., Bezdek, M. A., Lieberman, G., Elkin-Frankston, S., Romero, V. L., … Schumacher, E. H., Functional connectivity within and between intrinsic brain networks correlates with trait mind wandering., Neuropsychologia, 2017, 103, 140–153
  • Trumbo, M. C., Matzen, L. E., Coffman, B.A., Hunter, M.A., Jones, A.P., Robinson, C.S., and Clark, V.P., Enhanced Working Memory Performance via Transcranial Direct Current Stimulation: The Possibility of Near and Far Transfer., Neuropsychologia, 2016, 93, pp85-96
  • Matzen, L. E., Trumbo, M. C., Haass, M. J., Hunter, M. A., Silva, A., Stevens-Adams, S. M., … O’Rourke, P., Practice makes imperfect: Working memory training can harm recognition memory performance., Memory & Cognition, 2016, 1–15, http://doi.org/10.3758/s13421-016-0629-4
  • Hunter, M. A., Coffman, B. A., Gasparovic, C., Calhoun, V. D., Trumbo, M. C., & Clark, V. P., Baseline effects of transcranial direct current stimulation on glutamatergic neurotransmission and large-scale network connectivity., Brain Research, 2015, 1594, 92–107
  • Hunter, M. A., Coffman, B., Trumbo, M., & Clark, V., Tracking the neuroplastic changes associated with transcranial direct current stimulation: a push for multimodal imaging., Frontiers in Human Neuroscience, 2013, 7, 495, 1-5
  • Hunter, M.A., Villarreal, G., McHaffie, G.R., Jimenez, B.J., Hanlon, F.M., A.K., Smith, Thoma, R. Cañive, J.M., Lateralized abnormalities in auditory sensory gating and cortical thickness in PTSD., Psychiatry Research: Neuroimaging, 2011, 191, 138-144

Technical Reports

  • Ashley, O., W., Kelley, D., Cisler, D., Ciani, M., Osborn, M.A., Hunter, K., Kennedy, J., Beneda, F., Katana, C., Taylor, and O., Shechter., Resources Exist, Asking Can Help (REACH) Field Test with Geographically Isolated Service Members., OPA Report No. 2024-003, PERSEREC-TR-24-01., Office of People Analytics, Defense Personnel Security Research Center., 2024, https://www.opa.mil/research-analysis/health-well-being/mental-health/resources-exist-asking-can-help-reach-field-test-with-geographically-isolated-service-members/
  • Hunter, M.A., W., Fauth, D., Cisler, & A., Rose., Developing a Data Analysis Plan for the Insider Threat Community., OPA Report, PERSEREC-TR-23-05., Office of People Analytics, Defense Personnel Security Research Center., 2023, https://www.opa.mil/research-analysis/personnel-security/insider-threat/insider-threat-data-analysis-workbook/
  • Hunter, M.A., G., Wilson, A., Neville, D., Cisler, F., Katana, E., Mappin, & D., Richmond., Using Behavioral Biomarkers for Personnel Security Risk Assessment: Current Capabilities and Evidence for Validity., OPA Report No. 2022-148, PERSEREC-TR-22-34., Office of People Analytics, Defense Personnel Security Research Center., 2022
  • Wilson, G., Wolford, R., Hunter, M., Beneda, J., Ellis, S. K., Jaros, S. L., & Rose, A.E., Better ways to work together. A playbook for developing personal and organizational resilience., (PERSEREC-PA-22-06, OPA Report Number 2022-081)., Defense Personnel and Security Research Center/Office of People Analytics., 2022, https://www.opa.mil/research-analysis/personnel-security/insider-threat/better-ways-to-work-together/
  • Hunter, M.A., Ashley, O., Taylor, C., McGrath, S., Palmer, M., & Nelson, L., Increasing workforce commitment and loyalty in the 21st century., OPA Report No. 2021-128, PERSEREC-RN-21-19., Office of People Analytics, Defense Personnel Security Research Center., 2021, https://www.opa.mil/research-analysis/personnel-security/insider-threat/employee-loyalty-and-commitment-guidance/
  • Hurtado, S. Simon-Arndt, C. Kohen, C. Hunter, M.A., Thomsen, C. Kowitz, B. & Sanchez, S. S., Enhancing Decision-Making Under Stress Among Sailors., (No. NHRC-19-63)., Naval Health Research Center: San Diego CA., 2019, https://apps.dtic.mil/sti/pdfs/AD1085702.pdf
  • Hunter, M. A., Glassman, L. H., Hurtado, S., Simon-Arndt, C., Carinio, S., Colon, B., & Thomsen, C., Metrics of Physiological Resilience Predict Cognitive Ability And Psychological Health In Navy Service Members., Military Health System Research Symposium., 2020

Technical Skills

R, Python, SPSS, MATLAB, SQL, STATA, SAS (familiar), Regression modeling, longitudinal analysis, hypothesis testing, ANOVA/MANOVA, data reduction, classification and predictive modeling, machine learning, Database design, data pipelines, longitudinal dataset construction, quality assurance protocols, data governance, R Shiny, ggplot2, Tableau (familiar), technical and academic reporting, stakeholder presentations, Survey design, program and instructional evaluation, qualitative and quantitative analysis

Timeline

Research and Data Science Specialist

Freelance Consultant
02.2025 - Current

Research Science Lead

Peraton, Inc
06.2021 - 11.2024

Behavioral Research Scientist

Leidos, Inc
05.2018 - 12.2020

ASEE/NSF Postdoctoral Biomedical Research Fellow

QUASAR, Inc
11.2016 - 04.2018

NIH Postdoctoral Fellow

UNM Center for Brain Recovery and Repair
02.2016 - 11.2016

Graduate Student Instructor

The University of New Mexico
08.2015 - 12.2015

NSF Graduate Research Fellow

UNM Clinical Neuroscience Center
06.2012 - 01.2016

Research Scientist II

VA Medical Healthcare System, Behavioral and Psychiatry Research
05.2007 - 05.2012

Ph.D. - Experimental Psychology

The University of New Mexico

M.S. - Psychology

The University of New Mexico

B.S. - Psychology, Statistics

The University of New Mexico

B.A. - Philosophy, Sociology

The University of New Mexico
Michael Hunter