James Kim
MS in CS @ Cornell University
I’m a MS student in Computer Science at Cornell, broadly interested in building AI Agents to accelerate scientific discovery and streamline research workflows. Recently, I’ve also been interested in exploring AI/LLM safety.
In a previous life, I developed computational models of brain-behavior dynamics in substance use addiction with Prof. Amy Kuceyeski in the CoCo Lab, and worked on real-time acoustic sensing for hand pose tracking in wearable tech with Prof. Cheng Zhang in the SciFi Lab.
Feel free to reach out— happy to chat!
Education
M.S. in Computer Science
Cornell University
2025 - 2027
Fully-funded research-based MS (cohort size—7)
B.A. in Computer Science, B.A. in Mathematics
Cornell University
2021 - 2025
Distinction in All Subjects
Advisor: Amy Kuceyeski
Publications
Manuscript in progress, Poster presented at OHBM '25
CHI 2024 (Conference on Human Factors in Computing Systems)
Research Experience
Graduate Research Assistant, Sun Lab @ Cornell University
Jun 2025 - Present
Developing AI agents and LLMs for scientific workflows
Research Assistant, CoCo Lab @ Weill Cornell Medicine
Jan 2024 - Present
Researching future heavy alcohol-use prediction via fMRI/dMRI connectome-behavior mapping with Dr. Amy Kuceyeski. Supported by the Bowers CIS Undergraduate Research Experience (BURE) program (Jun 2024 – Aug 2024)
Research Assistant, SciFi Lab @ Cornell University
Aug 2023 - May 2024
Developed EchoWrist in the SciFi Lab under Dr. Cheng Zhang—a wrist-worn device using active acoustic sensing to estimate 3D hand poses; led user studies to optimize design and explore clinical applications (published in CHI’24)
Teaching Experience
Teaching Assistant for Machine Learning (CS3780), Cornell University
Aug 2025 - Present
Prof. John Thickstun
Fall ‘25
Course Consultant for Data Structures and Functional Programming (CS3110), Cornell University
Jan 2024 - Jan 2025
Prof. Michael Clarkson
Spring ‘24, Fall ‘24 (Received CS Course Staff Exceptional Service Award in SP’24)
Work Experience
LLM Research Software Engineer Intern, United States Navy (NAVSEA)
Jul 2025 - Aug 2025
Fine-tuned lightweight LLMs to improve reasoning, explainability, and task accuracy in military NLP applications on edge devices
Software Engineer Intern, Southern California Edison (SCE)
May 2023 - Aug 2023
Collaborated with cross-functional SCE teams to identify customer pain points and developed a user-centric platform and GPT-powered virtual assistant—enhancing the experience of 15M+ users across 430 cities, reducing call volume by 22K+/month, and winning the intern expo (1st out of 95 projects)
Full Stack Software Engineer, Cornell Hack4Impact
Aug 2022 - Aug 2023
Developed a full-stack psychiatrist-patient connection platform tailored for patients in Ghana and a rental listing platform to empower the homeless in Tompkins County to browse for available and affordable housing options
Software Engineer Intern, Wazzle
Apr 2022 - Aug 2022
Engineered a mobile contact management application, used by 5000+ users across the Apple App Store and Google Play Store. Spearheaded iOS user experience enhancements, driving impactful feature and design improvements
Technical Skills
Languages
Programming
Frameworks & Libraries
Developer Tools