Eric C. M. Chantland
Masters in Cognitive Psychology
Cognition & Cognitive Neuroscience
About Me
I received my masters in cognitive psychology where I designed and programmed experiments probing attention, perception, motivation, and reward processing. I am looking toward adapting my skill set into becoming more technically focused.
I mostly spend my free time writing, gaming, or collecting dice.
Projects
Autonomous Scraper GUI for Yale's eHRAF website database. Allows easy extraction and saving of document files based on your specified query.
Integrating an API using the Dice_Me project. Uses a relational database (SQLight), API (FastAPI), Python, JavaScript, CSS, and HTML.
Convert image to a dice mosaic using scikit-learn to determine optimal feature preservation. Includes optional arguments for desired output dice.
A python library for extracting features from Electroencephalography (EEG) data. Actively maintained and used by several researchers worldwide.
Matlab library implementing per-subject binary logistical regression analysis.
Selected Publications
Unsupervised EEG Artifact Detection and Correction
In Frontiers in Digital Health, Special issue on Machine Learning in Clinical Decision-Making. Volume 2, 2021
S. Saba-Sadiya and E. Chantland and T. Alhanai and T. Liu and M. Ghassemi
Value-Based Attention Capture: Differential Effects of Loss and Gain Contingencies
In Journal of Vision, Volume 20 Issue 5, 2020
M. W. Becker and S. Hemsteger and E. Chantland and T. Liu
Teaching
- PSY 395: Research Design and Measurement in Psychological Research (Lab Lecturer/Proctor, Teaching Assistant) Fall 2018, Spring 2021
- PSY 101: Introductory Psychology (Teaching Assistant) Spring 2019, Fall 2020, Fall 2021
- PSY 295: Data Analysis in Psychological Research (Teaching Assistant) Fall 2019
- PSY 235: Social Psychology (Teaching Assistant) Spring 2020
- PSY 342: Stereotypes, Prejudice, and Discrimination (Teaching Assistant) Spring 2020
- PSY 200: Cognitive Psychology (Teaching Assistant) Spring 2022
Education, Experience, and Certification
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Natural Language Processing
DeepLearning.AI - Coursera
April 2023 [Certificate]
Classification and Vector Spaces [Certificate]
Probabilistic Models [Certificate]
Sequence Models [Certificate]
Attention Models [Certificate]
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Statistical Data Analyst II
Washington University of Saint Louis
Oct 2022 - present
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Java Programming and Software Engineering Fundamentals
Duke - Coursera
Ongoing
Programming Foundations with JavaScript, HTML and CSS [Certificate]
Java Programming: Solving Problems with Software [Certificate]
Java Programming: Arrays, Lists, and Structured Data [Certificate]
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Web Design for Everybody: Basics of Web Development & Coding Specialization
University of Michigan - Coursera
August 2022 [Certificate] [Capstone Website]
Introduction to HTML5 [Certificate]
Introduction to CSS3 [Certificate]
Interactivity with JavaScript [Certificate]
Advanced Styling and Responsive Design [Certificate]
Web Design for Everybody Capstone [Certificate] [Capstone Website]
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Python for Everybody Specialization
University of Michigan - Coursera
June 2022 [Certificate]
Programming for Everybody [Certificate]
Python Data Structures [Certificate]
Using Python to Access Web Data [Certificate]
Using Databases with Python [Certificate]
Capstone: Retrieving, Processing, and Visualizing Data with Python specialization! [Certificate]
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Masters in Cognitive Psychology
Michigan State University
Aug 2018 - May 2022
GPA: 3.93
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Research Manager
Neuroimaging of Perception and Attention Lab
Principle Investigator: Taosheng Liu
Aug 2017 - Aug 2018
Attention and Perception Lab
Principle Investigator: Mark Becker
Jan 2017 - Aug 2018
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BS Psychology
Michigan State University
Aug 2014 - Dec 2016
GPA: 3.67