Overview
Work History
Education
Skills
Projects And Leadership
Relevant Courses
Timeline
Generic

JIAYU KAILEY WANG

Pittsburgh

Overview

1
1
year of professional experience

Work History

Teaching Assistant

CMU
01.2024 - Current
  • Company Overview: Teaching Assistance 21266 Vector Calculus for CMU SCS Students
  • Conduct weekly recitations and hold office hours to support student learning
  • Grading homework assignments and exams, ensuring timely and constructive feedback

Web Page Developer

CMU K-12
05.2024 - 07.2024
  • Company Overview: Collaborated in a team-based web development project for K-12 students
  • Utilized CMS Web Development tools to create an intuitive UI/UX experience
  • The project was successfully published on the CMU website

Education

Bachelor of Science - Discrete Mathematics And Logic, Computer Science

Carnegie Mellon University
Pittsburgh, PA
05-2027

Skills

  • Python SML C C Java R
  • Microsoft Office Stata VSCode
  • Matlab LaTeX QGIS
  • PyCharm Pytorch

Projects And Leadership

  • Modeling Research

Indexed by Ei Compendex, Led a research team evaluating battery storage system performance using a maximizing self-consumption strategy and genetic algorithms (GA)., https://dl.acm.org/doi/10.1145/3529299.3531500

  • Modeling Research, Mathematical Economics

Applied multiple regression and instrumental variable (IV) methods to analyze economic data. Processed over 20,000 data points using Stata for robust statistical modeling., https://docs.google.com/document/d/1iVqUd_fTLcf5XrRX7rFjAUsquvNb92QtqtBs_FJBuQ4/edit?usp=sharing

  • "Galaga" game, 15-112 CS Term Project (CMU)

Using python language and CMU graphics library to create an electronic game. Developed a full-featured replica of the modern Minesweeper game, incorporating all standard mechanics and functionalities.

  • Dynamic Memory Allocator, 15-213 Introduction to Computer Systems (CMU)

Designed and implemented a dynamic memory allocator using explicit free lists and boundary tag coalescing. Achieved high throughput and memory utilization through custom optimizations.

  • Deep Learning studier, 11-785 (CMU)

Neural networks, CNNs, RNNs, optimization, PyTorch-based projects. Implemented and trained deep neural networks for speech and image recognition using PyTorch. Applied backpropagation, batch normalization, and transfer learning to real-world datasets. 

Relevant Courses

  • Neural Computation
  • Introduction to Deep Learning
  • Parallel and Sequential Data Structure
  • Principles of Functional Programming
  • Introduction to Computer Systems

Timeline

Web Page Developer

CMU K-12
05.2024 - 07.2024

Teaching Assistant

CMU
01.2024 - Current

Bachelor of Science - Discrete Mathematics And Logic, Computer Science

Carnegie Mellon University
JIAYU KAILEY WANG