EDUCATION

2020-present
University of Minnesota - Twin Cities
M.S. in Computer Science
Thesis description: Predicting hypoglycemic events in diabetic patients up to 5 hours in advance using neural networks

2013-2017
University of Illinois at Urbana-Champaign
B.S. Physics, B.S. Astronomy
Minors: Mathematics, Communications
GPA: 3.51/4.0

PROFESSIONAL EXPERIENCE

November 2018 - present
Institute for Health Informatics, University of Minnesota - Twin Cities

  1. Run analysis on physical and mental illness datasets by:
    • Cleaning and performing exploratory data analysis to verify data integrity
    • Maintaining and documenting analytical datasets
    • Building and running predictive models using supervised and unsupervised techniques
    • Visualizing the performance metrics of the models for interpretation
    • Using Git and Github for version control and to develop best practices
    • Developing and modifying software and demonstrations. Creating documentation for all software, code, and experiments
    • Writing and helping to prepare technical reports and publications
    • Communicating and presenting analytical results to customers, scientists, and clinicians.
  2. Built a web app using Flask and Dash that works with NIH datasets by:
    • scraping information to build data dictionaries
    • processing and cleaning the raw data (based on patterns in the data formatting)
    • visualizes the data via a table, histogram, bar chart, heatmap, line plot, and box and violinplots
    • merging multiple datasets efficiently column-based and row-based using raw Python
    • transforms datasets from a longitudinal format to a wide format
    • calculates descriptive statistics of the input file
    • shareable as an executable for MacOS and Windows using Github Releases
  3. Developed an R package based on a colleague’s code for internal use to facilitate topological data analysis among our team
    • Maintained using Git and Github

May 2017 - September 2018
National Center for Supercomputing Applications (Matias Carrasco Kind), Urbana, IL

  • Created a simulation of 10000 galaxies using Python and calculated 22 statistical features
  • Applied algorithms to classify galaxies into 3 structural classes
  • Tested algorithms on MICE simulation data and identified galaxies in clusters, filaments, and voids
  • Compared predictions between two halo finders to determine which predicts better

University of Illinois Department of Physics, Urbana, IL

May 2017 - present
Research Assistant, Helium Reionization (Prof. Gilbert Holder)

  • Calculated the optical depth of helium ionized bubbles and derived an equation
  • Analyzed effects of the helium bubbles by modeling the CMB angular power spectrum

August 2014 - present
Research Assistant, Wireless Power Transmission (Prof. Alfred Hübler)

  • Published one paper and filed a patent application on Wireless Energy Transfer
  • Determined best parameters for optimal power using MATLAB simulations
  • Conducted microwave experiments to demonstrate power flow efficiency using digital radio

AWARDS

March 2017
Honorable Mention
NSF Graduate Research Fellowship Program

  • Approximately 13% of 13,000 applicants receive an Honorable Mention

Spring 2017
Dean’s List for College of Liberal Arts & Sciences

PATENTS

“Wireless Energy Transfer with Non-Sinusoidal Waves,” U.S. Provisional Pat. Ser. No. 62/380,791, filed Aug. 29, 2016.

COMPUTER SKILLS

  • Python (Scikit-learn, Numpy, Scipy, Matplotlib, Pandas, Seaborn, Tensorflow)
  • MATLAB
  • R
  • Unix command line