Role: Research Analyst, Department of Medicine
Tenure: October, 2024 - Present

Responsibilities:

• Lead and manage multi-domain research initiatives, including critical care, pulmonary, and sleep medicine, integrating clinical expertise with advanced data analytics using Python, R, SQL, EPIC, and REDCap.

• Design and implement predictive and geospatial models for CDC and NIH funded projects, including machine learning frameworks to assess vaccine uptake and rural health disparities.

• Conduct comprehensive EHR-based analyses to uncover key clinical patterns, disease predictors, and outcome disparities, supporting peer-reviewed abstracts, posters, and national conference presentations.

• Collaborate across disciplines with clinicians, data scientists, and IT specialists to optimize clinical workflows, quality improvement (QI) initiatives, and research study protocols.

• Mentor fellows, residents, and research staff in data analytics, study design, and reproducible workflows, fostering a collaborative, data-driven research environment.

Current Projects:

• Title: Machine Learning–Driven Predictive Modeling for Vaccine Receptivity: Optimizing Resource Allocation in Rural Appalachia (CDC Project) 

Duration: Oct 2024 - Present

• Developed and implemented advanced machine learning and deep learning models using Python, TensorFlow, and Scikit-learn to predict vaccine uptake across rural Appalachian populations, leveraging demographic, socioeconomic, and health behavior data.

• Collaborated with CDC and WVU Medicine researchers to analyze vaccine receptivity trends, identify high-risk geographic clusters, and support data-driven resource allocation and public health outreach strategies.

• Enhanced model performance through iterative validation, achieving over 89% prediction accuracy, and provided actionable insights to inform policy-level vaccination strategies and community health interventions.

• Title: INSPIRE Study: Data Analysis of Upper Airway Stimulation Therapy Outcomes in Obstructive Sleep Apnea 

Duration: Aug 2025 - Present

• Performed statistical analysis of pre and post-operative sleep study data from the INSPIRE Upper Airway Stimulation project to evaluate treatment outcomes for Obstructive Sleep Apnea (OSA) patients.

• Identified correlations between facial structure and body position and how these influence therapeutic response, contributing to improved patient selection criteria and postoperative evaluation strategies.

• Title: Comparative Outcomes of Mechanical Thrombectomy and Anticoagulation Therapy in Pulmonary Embolism Patients 

Duration: Sep 2025 - Present

• Conducted a retrospective data analysis of 191 patients diagnosed with acute Pulmonary Embolism (PE), comparing outcomes between mechanical thrombectomy (MT) and anticoagulation (AC) treatment groups.

• Performed statistical tests on clinical, demographic, and biomarker data (e.g., Troponin, B-type natriuretic peptide, Charlson Comorbidity Index), identifying a significant difference in Troponin levels (p = 0.0003) between groups.

• Title: Right Heart Catheterization Data Analysis in Group 1 Pulmonary Hypertension Patients 

Duration: Oct 2025 - Present

• Conducted a comprehensive analysis of Right Heart Catheterization (RHC) data from 61 Group 1 Pulmonary Hypertension patients, evaluating demographic, comorbidity, and hemodynamic parameters.

• Performed Kaplan-Meier survival analysis and Cox proportional hazards model based on functional class (I–IV), identifying a statistically significant association with patient survival (p = 0.0016).

• Title: Randomized Controlled Trial for Early Detection of Sleep Apnea in Acute Stroke Patients

Duration: Oct 2024 - Present

• Designed a randomized controlled trial comparing an intervention group (in-hospital sleep consultation and structured follow-up) versus standard care to improve timely completion of sleep studies post-stroke.

• Aimed to set a new standard in stroke care by enabling early diagnosis and treatment of obstructive sleep apnea, thereby enhancing recovery and reducing long-term health impacts.

• Title: Bariatric Surgery & Prediabetes: A 5-Year Propensity Score-Matched Analysis (NIH Project)

Duration:  Oct 2024 - Present

• Compared long-term metabolic outcomes in prediabetic patients undergoing bariatric surgery versus non-surgical controls by 

analyzing 3 and 5 year A1c values to assess progression, regression, and resolution of prediabetes. 

• Utilized propensity score matching to control for confounders, delivering robust insights into how bariatric intervention influences 

the incidence of sustained prediabetes and diabetes development.

Completed Projects:

• Title: SAHARA Study: Five-Year Analysis of Sleep Apnea in Rural Hospitalized Patients  (NIH Project)

 Duration: Oct 2024 - May 2025

• Retrospectively analyzed a REDCap database of 2,728 patients using level III unattended polysomnography, identifying that 40% of screened patients had moderate to severe sleep apnea.

• Analyzed associations between sleep apnea severity and key comorbidities such as hypertension, COPD, diabetes, and congestive heart failure to uncover population-level health disparities.

• Findings contributed to a published abstract at the SLEEP 2024 Conference, supporting data-driven initiatives to enhance inpatient sleep medicine programs in rural hospitals.

• Title: OSA & Pulmonary Hypertension in Appalachia: Prognostic Impacts on Re-admission and Survival (NIH Project)

Duration:  Oct 2024 - Nov 2025 

• Conducted a retrospective cohort study of 573 (rural Appalachian population) patients using Kaplan–Meier curves and Cox regression, to evaluate long-term survival and hospital readmission outcomes, adjusting for age, gender, BMI, and comorbidities.

• Identified a “survival paradox”: patients with both OSA and PH demonstrated better long-term survival compared to those with PH alone (HR=1.3, p=0.002).

• Discovered that BMI was inversely associated with hospital readmission rates, suggesting an “obesity paradox” protective effect.

• Supported development of hospital-level sleep medicine quality improvement initiatives and contributed to a peer-reviewed abstract publication and national poster presentation (APSS).

• Title: Pulmonary Embolism (PE) Outcomes and Geospatial Analysis

Duration:  Jan 2025 - June 2025

• Conducted comprehensive statistical and geospatial analyses of pulmonary embolism patients to assess mortality, readmission, and demographic disparities using Python (Pandas, Seaborn, GeoPandas, Matplotlib, Contextily).

• Integrated geospatial mapping to visualize regional healthcare patterns and rural–urban disparities, highlighting variations in ICU mortality and readmission rates across West Virginia.

• Designed reproducible analysis workflows and advanced visualizations to communicate findings effectively to clinical teams and support evidence-based decision-making.

• Merged electronic health record (EHR) data with geographical indicators (RUCA codes) to identify underserved areas and inform public health resource allocation.

• Title: Geographic and Clinical Determinants of Interstitial Lung Disease Severity and Referral Patterns in Rural Appalachia

Duration:  Dec 2024 - July 2025

• Analyzed 312 ILD clinic patients (2021–2024) to evaluate referral patterns, geographic access, and pulmonary function outcomes in rural Appalachia.

• Found that greater travel distance (>60 miles) correlated with worse lung function (FEV1, TLC, DLCO) and longer delays from symptom onset to specialty care.

• Conducted geospatial and statistical analysis using Python and Excel, identifying key access barriers and trends in disease severity and referral behavior.

• Title: Implementation Science–Driven Quality Improvement to Increase Vaccine Uptake in Pulmonary Medicine Clinics

Duration:  Dec 2024 - Aug 2025

• Participated in a multi-institutional American Thoracic Society (ATS) Vaccine Initiative aimed at improving adult vaccination rates (COVID-19, influenza, pneumococcal) in subspecialty pulmonary medicine settings.

• Applied implementation science frameworks - including the Consolidated Framework for Implementation Research (CFIR) and Expert Recommendations for Implementing Change (ERIC) - to identify barriers, facilitators, and context-specific strategies for program deployment.

• Conducted a clinic process workflow analysis using stakeholder focus groups and LucidChart-based mapping to identify intervention touchpoints across patient and provider engagement steps.

• Collaborated with a multidisciplinary team (physicians, IT developers, administrators, public health researchers) to align QI design with implementation science methods for long-term sustainability.

Role: Senior Supply Chain Analyst
Tenure: April, 2018 - November, 2021

Responsibilities:

• Achieved a 10% reduction in supply chain costs by implementing data-driven solutions for inventory management, resulting in the optimization of stock levels and a decrease in both stockouts and overstock situations.

• Improved supply chain efficiency by 15% through regression analysis, ANOVA, multilevel models, and root cause analysis. This involved streamlining processes and reducing lead times to address supply chain inefficiencies.

• Led cross-functional collaboration with production teams to gather and structure extensive manufacturing data. Proficiently utilized tools like R, SAS, SQL, Python, MS Excel, Tableau, and Power BI to create comprehensive reports and visually compelling presentations, showcasing advanced data management, organization, and visualization skills.