Yuqi Cheng’s Personal Page

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Education Background

China Agricultural University (CAU)｜Beijing, China

• Bachelor of Science Degree, Biological Science     09/2016-07/2020
  • GPA: 3.90/4.00, Rnaked:2/80 Cert Transcript
  • Courses：Advanced Math I & II, Linear Algebra, Probability and Statistics, Biochemistry I & II，Molecular biology, Cell Biology, Biostatistics, Bioinfomatics, etc.
• Bachelor of Science Degree, Data Science and Big Data Technology (Dual Major)   09/2018-07/2020
  • GPA: 3.84/4.00, without ranking Transcript
  • Courses: Database Principles (SQL), Linux applicatoins, Data structure and Algorithm (Python), Programming I & II (Python), Big Data Mining, Big Data Storage Processing, Artificial Intelligence technology, etc.

Cornell University, Weill Cornell Medicine | New York, USA

• Master of Science Degree, Computational Biology     09/2020-02/2022
  • Courses: Data structure and algorithm in biology, Applied machine learning, Deep learning
• Programming skills
  • Python (3years), R (2years), SPSS (2years), Linux shell (1year), LaTeX (1year) SQL (1year), HTML (Basic), MATLAB (Basic), C (Basic)
  • Familiar with Win10, Linux (CentOS, Ubantu), Anaconda3
  • Familiar with Tensorflow framework, MySQL database.
• Languages
  • CET-6 560
  • TOEFL 103, GRE 324 (V157+Q170, AW3.0)

Research Experience (Download CV for details)

• Study on Co-expression Network of Hexaploid Wheat Gene Based on Transcriptome Big Data   12/2018-06/2020
  Supervisor: Prof. Weilong Guo
• Primary Study of the Membrane Receptor of Verticillium dahliae Asp-f2 Like Protein   11/2017-12/2018
  Supervisor: Prof. Junsheng Qi
• Statistical Research upon Phenotypic Diversity of Papillionaceae in Xiaolongmen   07/2017-08/2017
  Supervisor: Prof. Zhaohui Liu

Python Project

• Probability prediction of heart disease incidence based on machine learning method （Kaggle）   02/2020-05/2020
  • Used numpy and pandas to do Data Preprocessing (One-Hot encoding etc.)
  • Used sklearn to build random forest (CART based), used ROC and confusion matrix to do model evaluation
  • Used sklearn，eli5 to conduct Feature Importance analysis
  • Used keras based on tensorflow to conduct artificial neural network (activate fuction: Sigmoid, ReLU, epochs=5)
• Research on China Telecom User Offline Forecasting System based on Big Data Technology   01/2020
  • Installed a Hadoop cluster based on Ubuntu 18.04, provided a distributed storage foundation through HDFS
  • Used pyspark.sql to develop null data preprocessing and feature engineer (null value processing, etc), established the random forest model through the Spark machine learning algorithm library Spark mllib (pyspark.ml)
  • Used AUC calculation of Spark to conduct model evaluation
• Player unknown’s Battlegrounds player ranking prediction   12/2019
  • Used numpy and pandas to do Data Preprocessing (null value processing, etc)
  • Used pandas to conduct feature engineering, matplotlib, seaborn to do visualization
  • Used sklearn to build random forest model and conduct MAE (mean_absolute_error) evaluation
• Online examination system-based on Python and SQL   05/2019-06/2019
  • Used ER model (Entity-relationship model) to design mysql database
  • Used tkinter to develop front-end of the examination system
  • Used SQL construct MySQL database (containing exam questions)
  • Used pymysql to connect database and record final score of tester

Competition Experience

• Gold Medal in iGEM Competition   04/2019-11/2019
  Position: Leader of modeling team
• 3^rd Prize in Minsheng Cup Mathematical Modeling Contest   04/2019
  Position: Team leader
• Honorable Mention in MCM/ICM   02/2018
  Position: Team leader
• 1^st Prize of Beijing College Students Biology Competition   05/2018 05/2019

Awards

• “5.4” Youth Pacemaker in CAU (Highest Honor in CAU)   05/2020 link
• Merit student of Beijing   12/2019
• National Scholarship (NO.2018-01395)   11/2018
• Baosteel Scholarship (NO.201920019)   11/2019
• 1st Class Scholarship for Academic Excellence   11/2017 11/2018 11/2019