Computer science assistant professor at the University of Montana. Leader of the brAIn_lab.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
avoidance_learning_depression
January 17, 2024 – May 21, 2024
avoidance_learning_depression — GitHub repository
View Projectavoidance_learning_task
September 11, 2022 – January 17, 2024
avoidance learning for honeycomb
View Projectavoidance_learning
August 25, 2022 – September 13, 2022
avoidance_learning — GitHub repository
View Projecttimecorr-paper
October 15, 2018 – August 12, 2021
Paper and code for High-level cognition during story listening is reflected in high-order dynamic correlations in neural activity patterns
View Projecttimecorr
April 16, 2017 – July 9, 2025
Estimate dynamic high-order correlations in multivariate timeseries data
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and academic, focusing on research and scientific computing. While this demonstrates initiative and a strong technical foundation, there is limited evidence of collaborative team projects, industry-specific data science applications, or diverse project types that would typically indicate a strong cultural fit for a fast-paced, product-oriented data science role. The projects are heavily skewed towards academic research, which may require a different operational approach than a corporate environment. The experience level is 0, suggesting a lack of professional experience.
Soft Skills & Operational Fit
The provided data does not contain information to assess soft skills or operational fit. Psychometric test scores are 0, indicating no completed test results for this area.