Python, C++, Java, JavaScript, SQL

Yigao Fang

734-***-**** ********@****.*****.*** Philadelphia, PA 19104 https://fgsepter.github.io/ fgsepter EDUCATION

University of Pennsylvania Philadelphia, PA

M.S.E. Data Science Computer and Information Science Department Aug.2022 – Dec. 2023 (Expected)

Coursework: Web Developing, Big Data Analytics, Statistics for Data Science University of Michigan (UM) Ann Arbor, MI

B.S.E. Computer Science Minor. Mathematics GPA: 3.98/4.00 Aug. 2020 – May 2022

Coursework: Software Engineering, Data Structures, Algorithms, Operating Systems, Database Management, Machine Learning, Parallel Programming with GPUs, Game Design and Development, Computer Vision, Linear Programming, Numerical Methods Shanghai Jiao Tong University (SJTU) Shanghai, China

B.S.E. Electrical and Computer Engineering (ECE) GPA: 3.84/4.00 Sep. 2018 – Aug. 2022 RESEARCH EXPERIENCE

VR Simulation Program Based on Computer Vision, Research Intern May 2021 – Sep. 2021

Generated a 256 * 256 binary graph based on de Brujin to provide a unique pattern for each 2-dimension position.

Utilized openCV to analyze images captured by the VR helmet and calculate its coordinates with degree-of-freedom up to 6.

Imported the 6 coordinates into Unity and realized an innovative VR system with a deviation less than 0.1 mm. SELECTED PROJECTS

Catalyst Rational Design through Artificial Intelligence May 2022 – Aug. 2022

Founded a platform that predicts force and energy of a catalyst based on structure using Python (Mean Avg. Error < 0.30 eV).

Innovated a Colab pipeline that preprocesses the ASE dataset, improves the GemNet model, and trains on 2 million data points. 3D Horror Game: Asylum 7 Feb. 2022 – Apr. 2022

Developed and published a first-person adventure game with 6 scenes based on Unity.

Spearheaded the game’s core technology mechanisms with C#, such as weapons, player movement, and trap controls.

Organized the 3-stage (alpha, beta, gold) iterative design process and managed the researching, testing, and marketing tasks. Birdcall Soundscape Classification Mar. 2021 – Jun. 2021

Preprocessed the audio dataset of 62.9K birdcalls and conveyed them into trainable spectrum maps using librosa on Python.

Strengthened convolutional neural network (CNN) to analyze the spectrum and visualized the result with F1-score = 64.49. Pedestrian Intention Estimation for Autonomous Driving Feb. 2021 – Apr. 2021

Applied Multiple Object Tracking to extract 128 * 128 images for each pedestrian from video clips to build training dataset.

Transformed the Net18 model into PyTorch LSTM pipelines to estimate pedestrians’ crossing-road intention with accuracy 77.5%. EMPLOYMENT HISTORY

Teaching Assistant, VP 160 Honors Physics; VE 230 Electromagnetics, SJTU Apr. 2022 – Aug. 2022 Teaching Assistant, EECS498/598, Deep Learning for Vision, UM Jan. 2022 – Apr. 2022

Covered the components that drive deep learning systems, such as convolutional networks and recurrent networks.

Discussed applications of computer vision, such as image segmentation and video classification using Python and Colab. LEADERSHIP AND AWARDS

Leadership: Department Minister, UM-SJTU Joint Institute Student Union; Club President, Monach Drama Troupe at SJTU

Coding Competition: Golden Medal, University Physics Competition; Meritorious Winner, Mathematical Contest in Modeling

Scholarships: China National Scholarship (Top 0.2%); Lum Scholarship (Top 1%) SKILLS

Programming Languages: Python, Java, C++, JavaScript, HTML, CSS, C#, C, Verilog, R Framework and Tools: SQLs, PyTorch, React, TensorFlow, openCV, MATLAB, Linux, GitHub, Mathematica, Unity, Latex

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