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Hire Dr. Rachel R.

Canada

USD 56 /hr

Applied Scientist| Research and Impact Strategist | Statistical modeling | Data Interpretation & analytics

Profile Summary

Quantitative research scientist with over 10 years of experience analyzing large-scale electrophysiological datasets and applying advanced statistical modeling to brain and behavior data. Proficient in R and MATLAB, with a strong track record of developing data-driven algorithms that uncover latent clinical and neural patterns—contributing to seven first-author publications in high-impact journals such as PLoS Computational Biology and The Journal of Neuroscience. Experienced in leading remote, data-intensive projects across international and interdisciplinary teams in neuroscience, psychiatry, and healthcare. Skilled in managing all stages of cognitive neuroscience research—from experimental design and data analysis to critical model evaluation and synthesis of actionable insights. Specialized in reward-based learning mechanisms, including prediction error processing and memory encoding, with applications to conditions such as depression, schizophrenia, and Parkinson’s disease. Strong scientific communication skills, with success in securing competitive fellowships (e.g., Fulbright Postdoctoral Fellowship) through high-impact research proposals. Committed to translating complex data into meaningful findings that advance both theoretical understanding and practical outcomes.

Subject Matter Expertise

• ☆ Neuroscience
• ☆ Electrophysiology
• ☆ Neuropsychology
• ☆ Human Behavior & Psychology
• ☆ Clinical Psychology
• ☆ Data-Driven Decision Making

Services

• Research
• Consulting
• Data & AI

Research Meta-Research, Gap Analysis, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Data Processing, Data Insights

Work Experience

Research Impact Measurement & Evaluation Specialist

University of Calgary

July 2023 - April 2025

Senior Research Associate

Brown University

September 2018 - July 2023

Education

PhD

Ben-Gurion University of the Negev

October 2014 - June 2018

Certifications

• Introduction to Data Science in Python

  University of Michigan

  https://www.coursera.org/account/accomplishments/verify/9YM3CMSLMV4V

  May 2025 - Present

• Scale Development and Psychometrics

  Canadian Center for Research Analysis and Methods

  July 2024 - Present

Publications

JOURNAL ARTICLE

Rachel Rac-Lubashevsky, Anna Cremer, Anne G.E. Collins, Michael J. Frank, Lars Schwabe (2023). Neural Index of Reinforcement Learning Predicts Improved Stimulus–Response Retention under High Working Memory Load . The Journal of Neuroscience.

Rachel Rac-Lubashevsky, Daniel Bush, Michael J. Frank(2021). Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence . PLOS Computational Biology. 17. (6). p. e1008971. Public Library of Science ({PLoS})

Rachel Rac-Lubashevsky and Yoav Kessler(2019). Revisiting the relationship between the P3b and working memory updating . Biological Psychology. 148. p. 107769. Elsevier {BV}

Rachel Rac-Lubashevsky and Yoav Kessler(2018). Oscillatory Correlates of Control over Working Memory Gating and Updating: An EEG Study Using the Reference-back Paradigm . Journal of Cognitive Neuroscience. 30. (12). p. 1870--1882. {MIT} Press - Journals

Rac-Lubashevsky, R., Slagter, H.A., Kessler, Y.(2017). Tracking Real-Time Changes in Working Memory Updating and Gating with the Event-Based Eye-Blink Rate . Scientific Reports. 7. (1).

Rac-Lubashevsky, R., Kessler, Y.(2016). Dissociating working memory updating and automatic updating: The reference-back paradigm . Journal of Experimental Psychology: Learning Memory and Cognition. 42. (6). p. 951-969.

Rac-Lubashevsky, R., Kessler, Y.(2016). Decomposing the n-back task: An individual differences study using the reference-back paradigm . Neuropsychologia. 90. p. 190-199.

Kessler, Y., Rac-Lubashevsky, R., Lichtstein, C., Markus, H., Simchon, A., Moscovitch, M.(2015). Updating visual working memory in the change detection paradigm . Journal of Vision. 15. (9).

DATA SET

Rachel Rac-Lubashevsky, Michael Frank (2021). Data for: Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence . Dryad.

PREPRINT

Rachel Rac-Lubashevsky and Michael J Frank(2020). Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence . []. Cold Spring Harbor Laboratory