Postdoctoral Research Associate

Advisor: Prof. Nitesh V. Chawla

• Managed and executed several analytical research projects in a long-term research collaboration with the Centre for Recovery and Nutritional Education (CREN) in Sao Paulo, Brazil. I engaged in the study of informatics’ ability to derive insights from data collected as part of clinical, nutritional, and psychological health services offered by the professionals at CREN.
• Developed and teaching a course on healthcare analytics. In addition to lectures grounding the concepts and theories associated with analysis of health data, the course has been designed give students’ hands on experience surrounding the preparation, modeling, and interpretation of a large real-world electronic health record data using python.

Research Assistant

Advisor: Prof. Nitesh V. Chawla

• Developed a research portfolio focused on the application of statistical, data mining and machine learning methodologies to problems across the healthcare domain.
• Processed and analyzed data from a wide array of clinical, administrative, and population health sources.
• Collaborated extensively with clinicians and practitioners to develop research questions into formal analyses, interpret results, and present findings in a clinically interpretable manner.
• Built and launched two pilot studies designed to investigate technology’s role in addressing community-based health and wellness problems.

Research Intern

Mentor: Dr. Spyros Kotoulas

• Analyzed a large community-health survey dataset to identify a personalized subset of questions, which, based on an individual’s survey history, would be most relevant in the determination of their need for a specific health and wellness intervention.
• Developed a novel framework that combined multiple machine learning techniques including collaborative filtering, rule-based learners, and predictive modeling to capture latent relations between survey questions and ultimately improve estimations of intervention need.

Research Intern

Mentor: Dr. Paul Bradley

• Researched the possibility to utilize a quantitative metric to determine the appropriate frequency to rebuild predictive models deployed in production. Accounting for the evolving nature of coding practices in healthcare claims by identifying shifts in the underlying data.
• Investigated approaches for utilizing claims data to estimate an individual's likelihood of hospital readmission after discharge for specific conditions.

Summer Researcher

Mentor: Dr. Klaus Mueller

• Member of a team exploring the efficacy of active learning techniques on classification tasks.
• Designed an interactive active-learning application for the visualization and labeling of uncertain data instances of an image classification problem.
• Learned and applied various machine learning algorithms including Gaussian mixture model and support vector machines.

Graduate Student Fellow

Managers: Dr. Ran Libeskind-Hadas and Dr. Susanne Hambrusch

• Selected as one of two students nationally to serve as the inaugural graduate student fellows for the Computing Research Association Education Committee (CRA-E).
• In collaboration with other fellows, designed and implemented the Undergraduate Research Highlights series. Collecting interviews and writing the initial 12 articles to showcase outstanding research done by undergraduate students at universities and colleges across North America.
• Redesigned the CRA-E Conquer website. Providing information for undergraduate students interested in research and graduate school, as well as faculty who are interested in mentoring undergraduate research and helping their students apply to graduate school.

Student Employee

Manager: Eric Felde JD

• Managed outreach and performed the migration of Institutional Review Board (IRB) research protocols during university wide transition to a new eProtocol system.
• Learned and applied the Common Rule to advise students, faculty, and staff of possible revisions to existing protocols and aided in the design of future protocols.
• Utilizing experience gained during protocol transitions, helped to design improved forms to be implemented in the new eProtocol system.

Technical Analyst

Manager: Yuriy Korolev

• Developed and maintained code within a large test-driven application serving traders in their daily operations within the bank.
• Utilized data structure theory to create optimized method functionality.
• In addition to programming duties, worked to migrate or eliminate antiquated components of the project within the production environment.

Technical Analyst Intern

• Developed web-based dashboard providing all levels of the bank access to comprehensive analytics of the usage of a database.
• Produced extensive documentation through all stages of the project life-cycle.
• Worked as a member of a team to meet multiple project goals and deliver a formal presentation to project sponsors.