Kevin Kim

Kevin Kim

M.S. student at UC San Diego exploring machine learning, neural computation, and intelligent systems.

M.S. student at UC San Diego exploring machine learning, neural computation, and intelligent systems.

Behind the screen

Finally, meet the researcher passionate about making a difference – a quick peek into my world

Hello, I’m Kevin Kim. I studied Computer Science & Neuroscience at Emory University. I'm a MSCS student at UC San Diego seeking to further explore neural networks and transformer model design to push the boundaries of what I have learned about the brain that I studied in neuroscience to find out how to further improve multi-agent systems across various cognitive tasks.

Education & Experience

Academic preparation, professional work, and teaching contributions.

Education

Degrees, programs, and academic milestones.

Master of Science in Computer Science and Engineering / University of California - San Diego · Sep. 2026 - June 2028

Bachelor of Science in Neuroscience, Minor in Computer Science / Emory University · Aug. 2022 - May 2026

Associate's in Liberal Arts / Oxford College of Emory University · Aug. 2022 - December 2023

Work & Teaching Experience

Research, industry, and instructional roles.

Incoming SWE Intern · Altasciences · Aug. 2026 - Oct. 2026

ML Researcher · Emory University · May 2026 - Present

Human-AI (HAI) Researcher · University of Illinois - Urbana Champaign · July 2026 - Present

Artificial Intelligence Research Fellow · Emory Center for AI Learning · Jan. 2025 - June 2026

Undergraduate Teaching Assistant · DATASCI 497R · Jan. 2026 - June 2026

Selected Publications

A record of publications, manuscripts, posters, and research presentations.

Publications & Manuscripts

Perceptions and Needs for a Technology-Based Dyadic Intervention on Symptom Management Among Patients With Colorectal Cancer and Their Caregivers: A Qualitative Study — Epari, A., Kim, K., Xiao, C., et al. Cancer Nursing. (2024). DOI: 10.1097/NCC.0000000000001429

FGOE_Pro: Decoupling NFL Kicker Skill from Situational Variance using Amortized Bayesian State-Space Models. Kim K., McAlister K. (In Submission)

Posters & Presentations

Regional variation in the acceptance of insurance by mental health professionals: Evidence from MEPS, Southern Regional Science Association (SRSA) Conference, 2024.

A Multi-Modal Evaluation of Chemistry Unbound using IRT and Sentiment Analysis, Emory Center for AI Learning Research Showcase, 2025.

Boom! Using Explosive Plays to Predict the Next Breakout Running Back, Emory Center for AI Learning Research Showcase, 2025

Multi-agent systems

Multi-agent systems

Human-AI Interaction

Human-AI Interaction

Bayesian State-Space Models

Bayesian State-Space Models

Data Analysis

Data Analysis

Machine Learning

Machine Learning

Cognitive Modeling

Cognitive Modeling

Scientific Computing

Scientific Computing

Scientific Computing

Research Software

Research Software

Neural Representation Learning

Neural Representation Learning

Questions I’m exploring

A developing research practice spanning machine learning, neuroscience, and human-centered computation.

Research Focus

Projects at the intersection of learning, representation, and cognitive systems.

FGOE Pro: Decoupling NFL Kicker Skill from Situational Variance using Amortized Variational Inference

A Bayesian state-space modeling framework that evaluates NFL kicker performance by calculating Field Goal Over Expected (FGOE) to decouple environmental difficulty from skill degradation.

Machine Learning

Python

FGOE Pro: Decoupling NFL Kicker Skill from Situational Variance using Amortized Variational Inference

A Bayesian state-space modeling framework that evaluates NFL kicker performance by calculating Field Goal Over Expected (FGOE) to decouple environmental difficulty from skill degradation.

Machine Learning

Python

Boom! Using Explosive Plays to Predict the Next Breakout Running Back

An award-winning sports analytics stacked-ensemble ML architecture that processes spatiotemporal data to predict breakout NFL running plays.

Machine Learning

Python

Boom! Using Explosive Plays to Predict the Next Breakout Running Back

An award-winning sports analytics stacked-ensemble ML architecture that processes spatiotemporal data to predict breakout NFL running plays.

Machine Learning

Python

Regional variation in the acceptance of insurance by mental health professionals: Evidence from MEPS

An econometric research study leveraging national health databases (MEPS/AHRF) to map regional disparities in mental health provider insurance acceptance.

Machine Learning

Regional variation in the acceptance of insurance by mental health professionals: Evidence from MEPS

An econometric research study leveraging national health databases (MEPS/AHRF) to map regional disparities in mental health provider insurance acceptance.

Machine Learning

A Multi-Modal Evaluation of Chemistry Unbound using IRT and Sentiment Analysis

An award-winning NLP and Rasch IRT psychometric pipeline that evaluates student feedback and curriculum performance for university chemistry courses.

Machine Learning

Sentiment Analysis

A Multi-Modal Evaluation of Chemistry Unbound using IRT and Sentiment Analysis

An award-winning NLP and Rasch IRT psychometric pipeline that evaluates student feedback and curriculum performance for university chemistry courses.

Machine Learning

Sentiment Analysis

Sneak peak of my fun side work

Connect & Collaborate

I welcome conversations about research, mentorship, and thoughtful technical work.

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