• Statistics• Research Design• Medical Writing• Science Writing• Programmatic Scripting• Algorithm Development• Software Development (Web, Backend, Database)

Data Engineering• Develop Extract, Transform, Load (ETL) procedures to maintain data in normalization system and de-normalization staging ground for production. (Apache Hadoop; HDFS; Pig; Amazon Redshift; S3; EC2)• Team member on new “low-latency, incremental load framework.” (Scala)Software Development• Entity Resolution background jobs (investigation, domain rules, implementation) to find and eliminate duplicate records. (Ruby)• Refactoring and bug fixes for data normalization work queue. (processes millions of records per day; Ruby; PostgreSQL)• Proposed and developed enhancements to proprietary “person-phone matcher” to better utilize social network data and increase link yield. (Java)Analytics• Responsible for curating over 20 key performance indicators (KPIs) describing the company’s data.• Championed and implemented automation for hands-off collection of all KPIs.Analyses• Latency, Cost, Accuracy analysis for querying provider data in real time, using different serial and parallel call permutations.• Applied domain specific knowledge to analyze distribution of idiosyncratic formatting patterns, and ambiguity of country of origin, for millions of captured phone number strings.(Unix/Linux, Vim, Bash, etc.)

Doctoral Dissertation: “Seizure Quantification and Clinical Judgment”• Designed computationally efficient distance measure (“Log-time-spectral distance”) between epileptic seizures. This algorithm operates on high-dimensional, non-stationary, multi-channel harmonic time-series data, and the output matches clinical intuition better than all other bivariate measures tested.C++• Designed object-oriented implementation of MDL-PAR compression algorithm (~8000 LOC)• Augmented compression algorithm with fuzzy high-dimensional distance measure for increased performanceMatlab, Python / SciPy / NumPy• Performed feature extraction and statistics on clinical EEG data• Conducted hypothesis formulation and testing• Programmatically visualized and characterized terabytes of intracranial EEG data

Matlab, C• Filtered noisy time series data• Automated data checking for inconsistencies• Programmatically migrated time series data into different formats

• Pitched and implemented reporting solution which obviated need for costly new database• Designed hashing algorithm to efficiently aggregate multi-dimensional, structured patient chart data• Designed random key generator for “kiosk viewer”; user-friendly keys• Numerous business logic, reporting, and GUI contributions• Client-server performance optimization• Developer liaison for installing customers• Internationalization point-person for application team• Numerous customer presentations, web demos, and breakout sessions• Numerous internal presentations on time management, coding best-practices, and industry knowledge

• Machine-level programming with x86 assembly• Real-time data acquisition and control through I/O devices• Designed programming assignments

Curriculum designer and teacher for three programming courses (200+ classroom hours): Introduction to Java, Introduction to C++, Visual Basic 6.0. Instructor for additional courses, including Introduction to Digital Electronics, and more.