I am a data scientist with a background in applied mathematics, consulting, educational technology, bioinformatics, evolutionary biology, physics, and information theory, among others. For the past eight years I have built data-driven products, created novel statistical methods for extracting information and visualizing data, and presented detailed analyses to a huge variety of audiences including executives, customers, and academics.
I have an extensive background in programming in Python, C++, and other languages, proficiency with major machine learning packages such as scikit-learn and R, experience building websites with frameworks such as django, flask, sqlalchemy, jquery, and others.
I'm taught a part time data science course for professionals with General Assembly in Santa Monica. The course covers a wide variety of data science topics (syllabus). I also developed and QA'd content for the full-time Data Science Immersive course.
ETL, construction of a data analytics database and dashboard, time-series analysis and modeling of x-ray emission spectra, various other types of data analysis such as A/B testing and analysis of customer field data, general ad-hoc problem-solving, experiment design.
Created ALEKS PPL, an artificial intelligence based mathematics placement system. Implemented placement programs at ~100 universities including technology integrations (SSO, data feeds, etc.), institutional policies, data analysis, marketing strategy, training, and conference presentations. Developed an analytics platform for placement data and assisted numerous schools in their research. [Publication, Publication]
Research in bioinformatics, evolutionary game theory, machine learning, statistical inference, and biochemistry, among others. We created phenotype sequencing, a method of determining which genes are causal for a given phenotype using high-throughput sequencing. We also created a machine learning based strategy for the iterated prisoner's dilemma. See below for more publications.
Doctoral research in Evolutionary Game Theory. Taught many courses from basic math through Calculus III. Five appearances on the list of instructors rated outstanding (top 10%) by students at the University of Illinois. Nominated for multiple departmental and campus-wide teaching awards.