AI, machine learning, and web development projects from my undergraduate journey at Boston University and Temple University.
Learn more about meAbout
I’m a senior majoring in Computer Science at Boston University, graduating in May 2026. I originally studied at Temple University before transferring to BU.
My interests lie in AI, machine learning, deep learning, and building practical systems that combine research with real-world applications. I enjoy creating intelligent tools, full-stack applications, and data-driven solutions.
I’m currently preparing for PhD applications in AI/ML and love connecting with people working on impactful and innovative projects.
Jihye Lee
jihye020211@gmail.com
AI, Machine Learning, Deep Learning, Web Development, Data Science
Resume
Work experience, teaching, and education.
Work, Research & Teaching Experience
Sep 2024 – Present
Boston University
Support students learning React, Next.js, MongoDB, and full-stack development. Lead review sessions and assist with debugging during office hours.
2024 – Present
Boston University – Mugar Library
Assist patrons with circulation, manage front-desk operations, and help students access research and study resources.
2023 – 2024
Temple University – HCI Lab
Researched visual question answering for graph and tree data structures. Co-authored an ACM STARS 2024 paper and contributed to dataset curation and multimodal LLM evaluation.
Spring 2024
Remote
Guided AP Calculus students with structured review sessions and mock exams. Helped several students earn a score of 5 on the AP exam.
2022 – 2024
Temple University
Tutored students in Python, Java, algorithms, and intro-level CS. Provided 1:1 and group support for foundational problem-solving skills.
Jun 2021 – Sep 2021
Harvard Medical School – Lee Lab
Engineered a computational workflow for scATAC-seq data analysis in R, resolving critical dependency issues to ensure workflow stability. Visualized complex biological datasets including Adult Mouse Brain and 10X PBMC, transforming raw data into interpretable insights.
2020 – 2021
Calvary Baptist Schools – Lansdale, PA
Assisted the lead teacher in math and science instruction for 3rd-grade students. Designed engaging early-STEM activities to strengthen participation and understanding.
Background Education
2024 – 2026 (Expected)
Boston University
Focus areas include artificial intelligence, machine learning, human-AI interaction, full-stack development, and algorithms.
2022 – 2024
Temple University
Completed foundational CS coursework, worked as a STEM tutor and HCI researcher before transferring to BU to pursue AI/ML specialization.
Activities
Activities and contributions beyond academics.
Temple University • 2023 – 2024
Managed budgeting and fundraising operations for ACM’s chapter. Collaborated with university departments and external sponsors to raise $1,000+ for club programs and events.
Temple University • 2023
Led event logistics and coordinated with sponsors during Temple’s annual Owl Hacks hackathon. Delivered sponsor presentations and secured $1,500+ in funding to support event operations and prizes.
Upchieve • 2022 – 2023
Volunteer STEM tutor supporting underserved middle and high school students with algebra, geometry, and general homework assistance.
South Korea National Women's Baseball Team • 2010 – 2018
Competed as a right-handed pitcher in national and international events. Participated in the 2018 Women's Baseball World Cup as the youngest pitcher for Team South Korea.
Projects
A mix of personal projects and course work where I combined AI, data, and full-stack development.
Featured Projects
Developer
A convolutional neural network model that predicts dog breeds from images, featuring preprocessing, CNN architecture design, and evaluation metrics.
Developer
Automated crypto trading bot integrating Alpaca API, GPT-4 sentiment analysis, Fear & Greed Index, and Korean YouTube transcripts.
More from my CV
Team Project Member
Multimodal healthcare dashboard with symptom logging, reminders, prescription OCR, and a GPT-4o health assistant.
Developer
2D agent-based model in MATLAB simulating COVID-19 spread with multiple movement speeds and 1,000+ iterations.
Contact
Let me know about opportunities, collaborations, or just say hi.