Bill CX

302 Grosvenor Ave. Apt. 1· Lexington, KY 40508 · (857) 242-1588 ·

Data Scientist with a artistic touch!

Graduate Researcher with strong background in bioinformatics and data science. Experienced in working with Big Data sources and range of software languages and code, including R, Python, REST Api and Shiny, using these to design and produce software packages and web applications. Currently in final semester of PhD research, with several publications and record of tutoring students. Good communicator and coordinator, with proven ability to deliver under pressure, through experience of planning and organizing high profile events.


NMR Reference Correction

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Graduate Research Assistant

University of Kentucky

Worked on construction of Protein NMR Reference Correction and Protein NMR Deuteration Level Detection frameworks. Designed and implemented corresponding software package (R) and web applications systems. Created R package ’BMRBr’ for easy download and processing of BMRB files.

Technologies: R, R Package Creation, RStudio, Python, REST Api, Shiny, Docker, Conda, Tensor Flow.

2013 - Present

Research Collaborator

Prof. Derek S. Young, Dept. of Statistics, University of Kentucky, Lexington KY

Worked on simulation for the Mix-Gamma Model with R. Work included generation of large amount of simulated data from gamma distributions, implementation of testing code, unit test, and preparation and design of submission shell code for HPC (High-performance Cluster).

Technologies: R, R Package Writing, HPC management, Bash code.

2016 - Present

Web/App Designer

UNi Software

2016 - 2017


University of Kentucky

Ph. D.

GPA: 3.57

2013 - 2018

University of Kentucky


GPA: 3.57

2015 - 2017


Self-Driving Car Nanodegree
2017 - 2018


Programming Languages
  • Python
  • R
  • SAS
  • C++
  • JavaScript
  • HTML
  • CSS
  • LaTex
  • Bash
  • Deep Learning for Cancer Classification with Gene Expression Data: Deep learning approach to classifying cancer types. Data from NHI Cancer Data public repo, with 32 different cancer types. The model accuracy is more than 97% with c.2% false positive/negative rates. DL model includes auto-encoder, 1D Convolution Net, fully-connected Neural Net.
  • Parallelized Interactive Machine Learning on Autonomous Vehicles: Development of an interactive reinforcement learning pipeline for autonomous driving from a game simulation. The simulator is from Microsoft AirSim and driving environment is simulated from Unreal Engine.
  • CatsHub App Entrepreneurship: Development of student-oriented phone application that simplifies stu- dent’s life by providing a one-stop shopping service hub. The original idea was from the University of Kentucky student organization. We pitched and created prototype, and won venture reward.
  • Distributed Classification of EEG Signals for Automated Sleep Stage Scoring: Big Data Map Reduce approach to implement traditional machine learning classification algorithms (Random Forest and SVM) on sleeping data (over 1000GB). Due to data limitations, only 70% accuracy achieved. On-going project.


I have undertaken considerable volunteer work, but the most rewarding act of service has been the sponsoring of two children from Romania and Armenia for the past six years. I communicate with these students frequently, encouraging them, and making them feel that there’s someone in their corner.

I am an active member of a number of university societies. I was the Vice-President and Treasurer of my department student organization. My roles in this included recruiting members, organizing social events and promoting a healthy and energetic learning environment for ever member.

I am also an avid runner, having completed the regional/local 2 peaks challenge last summer. Other interests include playing the violin, participating in local ventures and Hackthons, poem writing, and technology blogging.

Awards & Certifications

  • Grow with Google Challenge Scholarship - 2018
  • 3rd Venture Competition UK - 2017
  • Azure Research Funding - 2016
  • MWSUG Conference Poster Scholarship - 2016
  • SAS Certified Clinical Trials Programmer
  • Certification Series
  • SAS Certified Statistical Business Analyst
  • SAS Certified Advanced Programmer
  • DataCamp R Programming Certifications