Kelsey McDonald, PhD

Senior Data Scientist @ Labcorp

About

Cognitive decision data scientist with 6+ years of experience in statistical concepts, regression modeling, reinforcement learning, machine learning, deep learning methods, and analytics. Possess excellent analytical, problem solving, and communications skills with experience in data science and predictive modeling. Expertise in drawing insight from large datasets involving both human behavior and neuroscience data.

Country

United States

City

Raleigh-Durham-Chapel Hill Area

Industry

Research

Skill

Computational Modeling, Python, Matlab, Linux, R, Psychology, Neuroscience, Microsoft Office, Microsoft Excel, Microsoft Word, fMRI, FSL, Research, Data Analysis, Statistics, PowerPoint, Computer Science, Data Analytics, Bash, Python (Programming Language)

Experience

Senior Data Scientist

Labcorp

2022-7 - Present · 4 yrs 3 mos

Data Scientist

Labcorp

2021-4 - 2022-7 · 1 yr 4 mos

PhD Candidate in Cognitive Neuroscience

Duke University

2016-7 - 2021-4 · 4 yrs 10 mos

Raleigh-Durham, North Carolina Area

My research focuses on the application of computational modeling statistical methods to study complex human strategic decision-making. To this end, I conduct analysis of behavioral and neuroimaging data in humans in order to better understand how humans learn and make decisions in complex environments. My overall dissertation focuses on strategic interaction, learning, and decision-making in humans and how these insights can inform advances in social cognitive neuroscience. For more details, please see my published papers.

Research Assistant

Weill Cornell Medicine in the Hartley Lab

2015-7 - 2016-6 · 1 yr

Greater New York City Area

Used computational modeling techniques to study developmental changes in various aspects of reinforcement learning and decision-making in humans.

Neuroscience Research Intern

Princeton University in Niv Lab

2013 - 2015-6 · 2 yrs

Princeton, New Jersey

Learned how to apply reinforcement learning algorithms to human learning and decision-making data to gain insights into underlying cognitive mechanisms.