Jack Le

• Leading a project to assess and quantify biases in frontier AI models by analyzing the collection and analysis of text, photo, and audio evidence in the U.S. justice system.

• Selected for highly competitive program focused on developing practical skills in data science and machine learning. • Selected from 3000+ applicants for Break Through Tech AI, a year-long fellowship program designed to support underrepresented people in AI, ML, and Da

GPA: 3.96/4.0 受賞歴: Collegium V オナーズプログラム、ナショナルメリットスカラー、学部長表彰 (2022年秋 – 2023年春)

• Review and verify code to ensure alignment with project requirements and coding standards. • Collaborate with team members and work closely with lead developers to identify and resolve code issues.

• Worked with a nonprofit to create a mobile application for communicating with students and displaying/creating events. • Built a UI for updating/creating events on a calendar view using React Native and integrated functionality with backend.

• Provide research support, including documentation, installations, troubleshooting, and equipment setup for research labs.

• Collaborating with Dr. Hsu to leverage Large Language Models and machine learning in Materials Science experiments. • Focusing on applications such as image segmentation and Bayesian inference to address complex problems in materials science.

• Engaged in computer vision research under Dr. Daescu, enhancing model precision by integrating image processing techniques. • Executed an extensive literature review in sentiment analysis, identifying key trends and methodologies in ongoing research.

• CS 2336 (Computer Science II), CS 1337 (Computer Science I), CS 1334 (Programming Fundamentals for Non-Majors) • Facilitate weekly lab sessions for 200+ students in introductory computer science courses, improving student performance through dedicated office hours and

• Collaborated to develop sentiment analysis models using NLTK, accurately classifying 90% of movie review sentiments. • Presented research findings to a panel of university academics and industry professionals.

• Instructed math and science classes (Average 30 students per class) from grades 6-12.

• Created a cross platform social media app that utilized the Flutter SDK for the front end and Firebase Cloud for the backend.

• Instructed 20+ students in web development, enhancing their skills in HTML, CSS, and Bootstrap through hands-on learning.