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Learning Assistant (Teaching Assistant) for Statistics and Data Science

Bowdoin College Mathematics Department

Conduct weekly learning assistant hours supporting 20+ students with R programming and statistical analysis.

• Guide students through applied projects involving real-world datasets, emphasizing statistical thinking and reproducible analysis.

Quantitative Tutor

Bowdoin College Baldwin Center for Learning and Teaching

Provide one-on-one tutoring in computer science, mathematics, and economics.

• Subjects: Algorithms, AI, Linear Algebra, Probability, Statistics, Micro/Macroeconomics.
• Support students in debugging code, understanding theoretical concepts, and developing problem solving strategies.

Honors Candidate (Advisor: Prof Jeova Farias)

Senior Honors Thesis in Computer Science

Finalizing ConvNN, a unified framework bridging convolution and attention through k-nearest neighbor selection (Paper Under Review).

• Architected hybrid branching layers combining spatial (Conv2d) and feature-based (ConvNN) aggregation, achieving 4-8% accuracy improvements.
• Demonstrated effective and robust performance across CNN and Transformer through systematic ablation studies on neighbor selection strategies.

Undergraduate Research Assistant (Advisor: Prof Jeova Farias)

Independent Deep Learning Research Group

Developed ZiLU activation function that generalizes ReLU, GELU, and SiLU with learnable parameters for fine-grained control.

• Implemented modular GPT2 architecture allowing plug-and-play activation function swapping, training on OpenWebText.
• Demonstrated 1-2% improvements on image classification on CIFAR-10/100 with VGG19 and ResNet34 compared to baseline activations.

McKelvey Summer Engineering Fellow (Advisor: Prof Ulugbek S. Kamilov)

Computational Imaging Group, Washington University in St. Louis

Redesigned deep unfolding U-Net architecture for parallel qMRI reconstruction, achieving 4x parameter reduction while maintaining reconstruction quality.

• Maintained 37 dB PSNR, 0.923 SSIM on 4x accelerated scans.
• Developed normalization techniques (ACS region-specific and coil-instance) for undersampled k-space preprocessing, validated on patient dataset.

Sophomore Bootcamp Leader & Pod Leader

Bowdoin College Career Exploration and Development Group

Design and deliver workshops on career development for 400+ sophomores.

• Train and manage a team of 7 senior mentors, overseeing their preparation to deliver specialized workshops.
• Mentored 5 student teams in inaugural Sophomore Bootcamp Hackathon on full-stack development.

Learning Assistant (Teaching Assistant) for Intro to Computer Science

Bowdoin College Computer Science Department

Lead weekly learning assistant hours for 40+ students covering Python fundamentals and object-oriented programming.

• Mentor students on debugging techniques, code organization, and developer best practices.

Undergraduate Research Assistant (Advisor: Prof Jeova Farias)

Independent Deep Learning Research Group

Developed Convolutional Nearest Neighbor Attention (ConvNN-Attention), reducing computational cost by 18% (GFLOPS) with accuracy improvement (2.4%).

• Efficient attention mechanism using hard k-NN and convolutional aggregation.
• Implemented modular PyTorch layers compatible with standard Transformer and Vision Transformer architectures.

Research Fellow (Advisor: Prof Jeova Farias)

Christenfeld Summer Research Fellowship

Developed Convolutional Nearest Neighbors (ConvNN) algorithm integrating norm-based k-NN pixel selection into standard convolutional operations.

• Built modular PyTorch implementation (1D/2D) with configurable sampling strategies (random, spatial), pixel-shuffling, and positional encoding.

Undergraduate Research Assistant (Advisor: Prof Abhilasha Kumar)

Lexicon Lab, Bowdoin College

Investigated lexical retrieval processes in prelingually deaf cochlear implant users through computational cognitive modeling.

• Contributed to published CogSci 2024 conference proceedings paper (second author).
• Extended Python package 'Forager' with joint semantic embeddings (word2vec, speech2vec) for quantitative analysis.

Study Abroad Semester

Aquincum Institute of Technology

Computer Science

Bachelor of Arts

Bowdoin College, ME

Computer Science, Minor in Mathematics

• Deep Learning for Computer Vision
• Operating Systems
• Artificial Intelligence
• Computer Systems
• Algorithms
• Data Structures
• Data Science
• Computational Game Theory
• Linear Algebra
• Multivariable Calculus
• Probability
• Statistics
• Advanced Probability and Statistics

CRA Outstanding Undergraduate Researcher, Honorable Mention

Computing Research Association

Prestigious honor recognizes undergraduate students at North American colleges and universities who demonstrate exceptional potential in computing research.

John L. Roberts Fall Research Award ($2,463)

Bowdoin College

Awarded for senior honors project on Convolutional Nearest Neighbors & Convolutional Nearest Neighbors Attention.

Best Poster Presentation in the McKelvey Engineering Summer Research ($100)

Washington University in St. Louis

Awarded for excellence in summer research presentation.

McKelvey Engineering Summer Research Fellowship ($7,200)

Washington University in St. Louis

Awarded to conduct 10-week full time research with the Computational Imaging Group.

Allen B. Tucker Computer Science Research Prize ($50)

Bowdoin College

Awarded to a computer science student for excellence in summer research.

CRA Undergraduate Award ($4,000)

Last Mile Education

Awarded for supplemental assistance for summer research in computer science at Washington University in St. Louis.

NYC Stem Award ($1,500)

Last Mile Education

Awarded merit-based grant for technical equipment and research support.

Google AI 2024 Award ($595)

Last Mile Education

Awarded for semester research, building on prior work from Bowdoin College Christenfeld Summer Research Fellowship.

Christenfeld Summer Research Fellowship ($4,800)

Bowdoin College

Awarded to conduct 8-week full time research in computer vision and deep learning under faculty mentorship.

NSF Student Faculty Research Fellowship ($1,800)

Bowdoin College, National Science Foundation

Awarded for computational cognitive science research focused on modeling search and retrieval within the mental lexicon.

QuestBridge National College Match Finalist

QuestBridge

Recognized as a finalist for the QuestBridge program, which connects high-achieving students from low-income, first-generation backgrounds with full scholarships to top colleges.

Structures and process-level lexical interactions in memory search: A case study of individuals with cochlear implants and normal hearing

CogSci 2024. Proceedings of the 46th Annual Meeting of the Cognitive Science Society

Abhilasha A. Kumar, Mingi Kang, William G. Kronenberger, Michael N. Jones, David B. Pisoni

Parallel qMRI Reconstruction from 4x Accelerated Acquisitions

Preprint

Mingi Kang. arXiv preprint arXiv:2511.18232

Attention Via Convolutional Nearest Neighbors

Under Review

Mingi Kang, Jeová Farias Sales Rocha Neto. arXiv preprint arXiv:2511.14137

ZiLU Activation Function for Vision and Language Models

In Preparation

Mingi Kang, Zai Yang, Jeová Farias Sales Rocha Neto

Polar Shuttle

PolarShuttle is a mobile application designed to track real-time shuffle schedulers specifically for Bowdoin College's shuttle service.

• Kotlin
• Hilt
• ORM
• ROOM
• Google Maps API
• ViewModel
• Jetpack Compose
• Firebase
• Coroutines
• Android Studio

SiFT-v1.0

SiFT: Simple File Transfer is a secure file transfer system designed to allow clients to perform file operations on a server remotely.

• Cryptography
• Key-Pair Generation
• RSA Encryption
• Python

MealMessenger

MealMessenger is a service that sends daily Bowdoin dining hall menus via SMS to students.

• Selenium
• BeautifulSoup
• Twilio API
• Python
• Google Gemini
• Web Scraping