Consulting Services
I design secure software architectures and use machine learning to model and analyze large and complex data sets. I provide the following consulting services both as an independent contractor and through Pangaea Information Technologies, Ltd. (depending on the size of the project):
- Machine Learning and Statistical Analysis
- Data Visualization
- Scientific Article Writing and Editing
- Threat Modeling
- Code Review
- Secure Software Architecture
- Database Architecture
- Full-Stack Software Development
- Lean Project Management
Education
- Academic Focus: Artificial Intelligence, Computational Biology, Biomedical Statistics, and Database Systems
- Research Focus: Analyzing biological data using statistical and machine learning algorithms and improving the quality and efficiency of the interactions between the biological scientist and the software tool
- Advisor: Dr. C. David Page
- Research Focus: Using computational and quantum chemical approaches to understand the structural and energetic origins of the high stability of collagen molecules;
- Advisor: Dr. Ronald T. Raines
Certifications
The vendor-neutral CSSLP credential validates that software professionals have the expertise to incorporate security practices – authentication, authorization and auditing – into each phase of the software development lifecycle, from software design and implementation to testing and deployment. CSSLP confirms one’s knowledge to reduce loss of revenue and reputation due to a breach resulting from insecure software, while enhancing the credibility of an organization and its development team.
An Information Assurance Security Officer in the United States Army is primarily responsible for the security and integrity of the information systems in his or her area of responsibility.
Experiences
I design secure software architectures and use machine learning to model and analyze large and complex data sets.
Designing secure software architectures and leading development teams in the creation of custom software to leverage geospatial analysis, artificial intelligence, and statistical analysis of large data warehouses. Managing the internal IT infrastructure supporting development, build, integration, staging and production environments.
Performing statistical data analysis using SAS, PowerBI, Scikit-Learn, and Microsoft Excel. Creating charts, graphs, and maps to visualize patterns in complex datasets. Drafting and editing manuscripts to support academic research.
Developing strategies to create innovative, aligned, and streamlined data collection and tracking solutions in the arts education sector to better inform and drive expanded arts programs in schools across Chicago.
Integration of human expert feedback into machine learning systems. Analyzing biological data using statistical and machine learning algorithms.
Taught an accelerated undergraduate summer course in bioinformtics for the Summer Research Program in Biostatistics and Bioinformatics
Designed and implemented SELDI Filter, an application for automated analysis of proteomic mass spectrometry data. Provided statistical insights into protocols in order to assess the validity and predictive power of the results of those experiments.
Teaching assistant for an Introduction to Programming discussion section.
Exploration of abelian sand-pile models through theoretical and computational analysis.
Investigation of the inductive effect in the stabilization of hydroxyproline residues in collagen from a computational chemistry perspective.
Taught group-learning based discussions sections in the three-semester Calculus sequence. (Calculus I: Fall 1996, Fall 1998; Calculus II: Spring 1996, Spring 1997, Spring 1998, Spring 1999, Fall 1999; Calculus III: Fall 1997)
Examined DNA mismatch repair damage in human colorectal tumor cells.
Investigation into the structure/function relationship in NADPH-cytochrome P450 oxidoreductase.
Projects
OSS Contributions
Publications
Over 25 articles focused on the advancement of Artificial Intelligence in Disease Diagnosis and Surveillance published in academic journals.
Technical Expertise
Languages: TypeScript, C#, Python, JavaScript, HTML/CSS, Java, SQL, Bash/Shell
Frameworks: React, ASP.NET, Node.js, jQuery, Azure, PowerBI, Docker, Scikit-Learn
Databases: SQL Server, MySQL, PostgreSQL, Cosmos DB, CouchDB, MS Access