Skills

Statistics, Data Science, Machine Learning

Regression Analysis, Applied Microeconometrics, Agent-Based Modeling (ABM), Geographic Information Systems (GIS), and Natural Language Processing (NLP)

Advanced Julia and R

Scientific Computing and Software Development

PK/PD and QSP

Pharmaco-Kinetic / Pharmaco-Dynamic models and Quantitative Systems Pharmacology

Teaching

Teaching Assistant

2016 Advanced Research Methods (Graduate), Michigan State University, for Dr. Lisa Cook, through the AEA Summer Program

2015 Principles of Microeconomics (Undergraduate), Johns Hopkins University, through the Center for Talented Youth

2014 Intermediate Microeconomics (Undergraduate), Southwestern University

2014 Principles of Economics (Undergraduate), Southwestern University

Experience

 
 
 
 
 
September 2018 – Present
Baltimore, MD

Scientific Computing Intern

Center for Translation Medicine at the University of Maryland Baltimore

As a scientific computing intern, I contribute to the data generation and processing tools for various modeling designs (e.g., PK/PD, PBPK, QSP) and for conducting bioequivalence studies. The code will be released in early 2019 as open-source. Projects are under the supervision of professor Vijay Ivaturi and Chris Rackauckas.
 
 
 
 
 
July 2018 – Present

Research Assistant

QuantEcon

I am a member of the team developing and maintaining the QuantEcon lectures for the Julia language and related code (e.g., QuantEcon.jl). The undergraduate and graduate level lectures cover various topics in quantitative economics. The code is available at the Github repository (open-source). Working with the University of British Columbia team led by professor Jesse Perla.
 
 
 
 
 
May 2018 – August 2018
Arlington, VA

Graduate Fellow for the Data Science for the Public Good Program

Social and Decision Analytics Laboratory

I led two research projects and consulted for a third one under the supervision of Dr. Gizem Korkmaz. My responsibilities included working with the sponsor and undergraduate students tasked to these projects.
 
 
 
 
 
September 2016 – September 2018
Portland, OR

Research Consultant and Data Scientist

Res-Intel

I assisted with analytical modeling and software integration. Some of my experiences include working in the team that developed the data validation and preprocessing for the analytic tools provided in the software. My work focused on the designed and implementation of the algorithms used in prediction and benchmarks for energy and water utility accounts (performed using R). Worked under the supervision of professor Hal Nelson (Portland State University).
 
 
 
 
 
September 2014 – May 2016
Claremont, CA

Research Assistant

The Center for Neuroeconomics Studies

I performed various roles such as: recruiting participants, conducting design-stage research, piloting laboratory experiments, running experiments, and cleaning and analyzing data. The laboratory experiments included administrating drugs, collecting blood samples, eye-tracking, electroencephalogram (EEG), electrocardiogram (ECG), and standard experimental laboratory studies.