Resume

Education

University of Washington, Seattle, WA — B.S. in Psychology and Statistics: Data Science (GPA: 3.75)

Aug 2022 — Expected June 2026

• Dean’s List — Yearly: 2023, 2024; Quarterly: 2022 (Aut), 2023 (Wint, Spr, Aut), 2024 (Wint, Spr, Aut), 2025 (Spr, Aut)
• Psychology Honors Program (2024–2026)
• Mary Gates Research Scholar (2025)
• Best Research Proposal, Guthrie Prize Winner (2025)
• Statistics Directed Reading Project — Multiple Testing in Genetic Research (Aut 2025)

Work Experience

Research Assistant — Exponent Inc., Bellevue, WA

October 2025

• Supported an applied research project for a leading technology client, assisting in study setup, participant coordination, and data collection.
• Optimized research environments to maintain standardized testing conditions and ensure participant safety.
• Managed participant data using specialized data collection and analysis software.
• Collaborated with senior researchers to streamline project execution and ensure high-quality data integration.

Data Science Intern — AweXome Ray, Anyang, Gyeonggi-do, South Korea

June 2025 — August 2025

• Built an interactive desktop app automating air quality analysis across three sensor types, with plotting and export tools.
• Analyzed air quality data pre/post product installation at military shooting ranges, generating statistical evidence supporting sales.
• Co-authored a research abstract submitted to a conference; contributed scientific writing and structural edits.
• Digitized six years of conference materials into a searchable archive to improve companywide access to technical documents.
• Partnered with engineers on heat dissipation, 3D printing, and operations support.

Student Researcher — Cognition and Cortical Dynamics Laboratory, University of Washington

Sept 2023 — Present

• Designed and completed an independent project on attentional biases in decision making (N>200).
• Developed analysis and visualization pipelines in R and Python; presented results at multiple symposia.

Research Assistant — Cognition and Cortical Dynamics Laboratory, University of Washington

Oct 2022 — June 2024

• Led behavioral data collection for multi-session studies on individual differences in cognition and learning.
• Utilized EEG and fMRI to investigate neural correlates of behavior and coordinated participant scheduling.

Publications, Presentations, & Invited Talks

Publications

Czerwonka, M., Mottarella, M., & Prat, C.S. (in prep). To Be or Not to Be Biased: Investigating the Factors That Determine Attentional Bias and the Differences in Conflict Perception Between Neutral and Biased Attenders Using Drift Diffusion Modeling.

Presentations

• Czerwonka, M., Mottarella, M., & Prat, C. S. (November 2025). Investigating Individual Differences in Decision Strategy. Poster, Psychonomic Society 66th Annual Meeting, Denver, CO.
• Czerwonka, M., Mottarella, M., & Prat, C. S. (May 2025). Exploring Individual Differences in Decision Strategy. Poster, Mary Gates Symposium, University of Washington.
• Czerwonka, M., Mottarella, M., & Prat, C. S. (May 2024). Visual, Verbal and Balanced Processing Styles. Poster, Mary Gates Symposium, University of Washington.

Invited Talks

• Czerwonka, M. (October 2024). Determinants of Attentional Bias. Invited talk, Cognition and Cortical Dynamics Lab, UW.
• Czerwonka, M. (February 2024). Visual, Verbal and Balanced Processing Styles: Research Background and Proposal. Invited talk, Cognition and Cortical Dynamics Lab, UW.

Skills

• Programming: R (RMarkdown, tidyverse, ggplot2), Python (Jupyter, matplotlib), SQL (SQLite), Psytoolkit
• Data analysis, visualization, and quantitative methods
• Experimental design, human-subjects work, inferential statistics
• Languages: English (Native), Polish (Native), Korean (Proficient), Spanish (Proficient)

Licenses & Certifications

• MRI Level 2 Safety Trained Personnel
• CITI Human Subjects Learners — Credential ID 52410553