- Statistician for Positive Affect as a Source of Resilience for Adults in Chronic Pain (LARKSPUR) randomized clinical trial (ClinicalTrials.gov ID: NCT04869345); coordinated data management, preparation, analyses, and contributed to the writing of multiple peer-reviewed scientific articles.- Leading an integrative data analysis of positive psychology interventions across nine data sets; coordinating study design, measure selection and harmonization, analytic planning and statistical analyses, and data management and preparation; presenting results at international conferences; writing up results for peer-reviewed scientific publication.- Collaborated with researchers at Cornell University, Weill Cornell Medicine, Northwestern University, Rochester Institute of Technology, University of Notre Dame, and Utah State University on statistical analyses, data collection, and experimental design.- Submitted / preparing three grant proposals for federal funding.- Published and submitted multiple peer-reviewed scientific articles developing, evaluating, and applying statistical methods for integrative data analysis and meta-analysis, text mining, and longitudinal data analysis.

- Performed independent research on statistical methods for integrative data analysis and text mining.- Published nine peer-reviewed methodological and psychological research papers and four conference proceedings.- Developed and published an open-source software R package for a novel text mining method which has been downloaded more than 4,000 times to date.- Mentored 4 undergraduate research assistants in statistical methods, statistical analysis and software leading to two undergraduate research conference presentations and advanced senior theses.

- Co-taught 2 semesters of a graduate-level seminar in Quantitative Study for ~ 50 students.

- Teaching assistant for four graduate-level foundational statistics courses over 2 semesters for a cohort of ~ 20 graduate students (Quantitative Methods I, Quantitative Methods II, Quantitative Methods I Lab, Quantitative Methods II Lab).- Independently prepared and delivered lectures and laboratory exercises for advanced statistical methods and software.- Taught and mentored ~ 20 students in individual and group sessions.- Provided graded feedback to students for projects and homework assignments.

- Extracted key insights into ~5 years of national trends in manufacturing engineering hiring using text mining and clustering techniques for a study to align curriculum development and industry needs.- Used time series models and text mining/natural language processing methods to forecast overall and segment-specifics hiring trends and key competencies.- Developed an interactive software application in Shiny and R for exploration of job advertisement topical structure with the capacity to explore underlying themes and structure of existing and new job advertisements using text mining / natural language processing methods.- Regularly presented research findings to a team of substantive researchers and stakeholders, wrote technical reports, prepared data documentation, and delivered graphical summaries for use in professional presentations and grant applications.

- Provided over 1,000 hours of individual and group tutoring to over 3,000 undergraduate and graduate students in mathematics, statistics, physics, and engineering courses.- Taught, mentored, and developed materials as Instructor for student-personalized Critical Math Skills courses for a class of ~ 15 underserved students in STEM.

- Developed and presented review materials, laboratory exercises, as a Recitation Instructor for ~ 40 students in 2 graduate-level courses (Fundamentals of Statistical Theory, Elements of Statistical Theory).- Prepared lectures, taught and mentored students in individual and group settings, and graded student exams, projects, and homework as a Teaching Assistant for ~ 180 students in 6 graduate-level courses and 2 undergraduate-level courses (in-person and online/hybrid) in statistics and statistical computing (Fundamentals of Statistical Theory, Principles of Statistical Data Mining, Elements of Statistical Theory, Statistical Software, Probability and Statistics II for Engineers).- Coordinated parallel computing cluster for computational research as Lab Manager for the graduate computing and research laboratory at the John D. Hromi Center for Quality and Applied Statistics.

- Taught one-semester Critical Mathematics Skills course to ~ 15 underserved undergraduate students.- Developed curriculum and materials for 15 units for a new Critical Statistics Review course and Calculus courses for STEM students.- Tutored and mentored more than 3,000 students in mathematics, statistics, physics, and engineering courses with ~ 1,000 contact hours in individual and group formats.

- Worked as a Data Scientist with the Ad Operations team.- Increased the relevancy and quality of advertisement placement for more than 10 million disconnected calls using deep learning, Bayesian models, text mining/natural language processing methods.- Developed machine learning models to predict advertisement impressions and selection events for disconnected calls and proved improved relevant recommendations to customers.- Designed, conducted, and evaluated experiments to assess the real-time impact of prototype machine learning solutions on advertisement conversion rates and revenue across ad auctions for more than 10 million customer calls and online impressions.- Provided reporting support and data management for data lake using Hadoop and Spark distributed computing.

- Compiled and analyzed data for over ~ 10 years of residents' training in the Psychiatry Residency Program.- Analyzed residents' educational training outcomes and well-being across a suite of measures including the OQ-45, COSE, and internal performance metrics.

- Presented research results at the RIT Undergraduate Research Symposium and to stakeholders at the Seneca Park Zoo.- Conducted a literature search, collected and analyzed data, and assisted with experimental design for three studies of object discrimination across human subjects, North American river otters, and fish.- Performed daily maintenance and upkeep of the laboratory and animal subjects.

- Published a peer-reviewed article on the extent and impact of experimental crosstalk in psychological research.- Coordinated and conducted data collection and analysis for two studies of informed consent procedures.- Prepared two manuscripts for peer-reviewed publication.

- Provided over 1,000 hours of individual and group tutoring to over 3,000 undergraduate and graduate students in mathematics, statistics, physics, and engineering courses.

- Instructed, assisted, and mentored 20 students in pre-calculus and algebra courses for a New York State-funded college entry program for academically and economically disadvantaged students.

- Conducted a literature review and edited a manuscript for publication in a peer-reviewed medical journal.- Compiled and analyzed data for an examination of the OQ-45 across ~ 10 years of psychiatry residents.- Coordinated and ran a study within a NIH grant to test a prototype sensor to measure the flow rate of fluid through a catheter for future treatment of hydrocephalus: Recruited participants and conducted trials, collected and analyzed data, and wrote a technical report for Transonic Systems.