Surgical Systems & Clinical Outcomes

Case Study Analysis – Trauma Surgery

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Mixed-methods investigation on intraoperative decision-making and surgical precision in high-acuity trauma cases.

• Collaborated with trauma and acute-care surgeons from Baylor College of Medicine, University of Melbourne, and Emory University.

• Studied hemorrhage control, anatomic reconstruction, and operative decision-making in complex trauma settings.

• Performed quantitative analysis (SPSS, Python) of operative duration, blood loss, and stabilization intervals to identify performance correlations.

• Conducted qualitative coding (NVivo) of surgeon interviews to evaluate incision methods, vascular repair, and hemostatic timing.

• Findings defined evidence-based parameters for trauma surgery precision and adaptability under high-stress conditions.

• Supported development of surgical frameworks to reduce complications and improve long-term recovery outcomes.

Tools: SPSS · Python (pandas, matplotlib) · NVivo · Excel

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Clinical Urology Case Study — Diagnostic and Management Insights

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Qualitative and computational analysis of clinical reasoning and treatment pathways in urologic care.

• Collaborated with a Memorial Hermann–affiliated urologic surgeon in Houston, TX.

• Investigated diagnostic workflows for BPH, prostate cancer, kidney stones, erectile dysfunction, UTIs, and hematuria.

• Analyzed clinical interviews and chart reviews using NVivo to identify diagnostic trends and therapeutic frameworks.

• Designed simulated patient cases based on age, symptoms, and comorbidities to model real-world diagnostic reasoning.

• Developed a computational diagnostic model in Python (NumPy, scikit-learn) to map symptom clusters and management outcomes.

• Aimed to improve precision in early diagnosis and create a foundation for AI-assisted clinical decision support.

Tools: NVivo · Python (NumPy, scikit-learn) · Excel

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Independent Study — Intraoperative Complications in Abdominal Surgery

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Mixed-methods international study examining complication patterns and optimization strategies in minimally invasive abdominal surgery.

• Collaborated with global surgical faculty from Stanford Medicine, NHS systems, Newcastle University, Royal College of Surgeons of Edinburgh, and University of Porto.

• Analyzed intraoperative complications in laparoscopic and minimally invasive abdominal procedures.

• Conducted quantitative review of operative data (SPSS, Python) focusing on conversion rates, bleeding, and morbidity trends.

• Performed qualitative coding (NVivo) of surgeon interviews on decision-making during adhesiolysis, vascular control, and anastomotic repair.

• Identified how trocar geometry, visualization fidelity, and instrument precision influence complication rates and operative outcomes.

• Proposed a technique-based optimization framework integrating data analytics with global surgical best practices.

Tools: SPSS · Python (pandas, seaborn) · NVivo

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Oral & Maxillofacial Surgery Research – Tumor Prevention and Environmental Health

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Collaborative study on early detection and surgical prevention of oral and maxillofacial tumors in low-resource settings.

• Partnered with oral and maxillofacial surgeons and public health experts across Houston and Pakistan.

• Investigated how environmental carcinogens, tobacco, and betel nut use contribute to oral tumor incidence and delayed diagnosis.

• Analyzed clinical registry data (SPSS, Python) to correlate incidence with environmental and socioeconomic factors.

• Conducted qualitative interviews (NVivo) with clinicians and patients to identify diagnostic and screening barriers.

• Developed a surgical prevention framework focused on community screening, oncologic education, and early pathology integration.

• Demonstrated that early excision of precancerous lesions can significantly reduce morbidity and tumor progression.

Tools: SPSS · Python (NumPy, seaborn) · NVivo · Excel

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AP Research – Surgeons’ Perspectives on Robotic vs. Laparoscopic Surgery in Oncology

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Global qualitative study comparing surgical innovation, outcomes, and accessibility in oncologic care.

• Surveyed and interviewed oncologic surgeons across multiple continents to compare robotic and laparoscopic techniques.

• Explored how technology impacts surgical precision, decision-making, and postoperative outcomes across healthcare systems.

• Analyzed data in Excel, assessing learning curves, infrastructure costs, and clinical variability between methods.

• Conducted thematic coding of surgeon insights on tactile feedback, ergonomics, and tumor resection accuracy.

• Evaluated global disparities in access and training for robotic systems, emphasizing sustainable innovation in surgery.

• Concluded that robotic surgery improves dexterity and visualization but requires careful cost-benefit and equity considerations.

Tools: Excel — Global Qualitative & Cost-Outcome Comparative Analysis

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Research Aid — INOV8 Orthopedics, Houston, TX

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Clinical and translational research experience supporting infection control and procedural innovation in orthopedic surgery.

• Assisted attending surgeons and investigators in ongoing studies on surgical site infections (SSI) in total joint arthroplasty.

• Conducted literature reviews, collected clinical data, and contributed to structured research discussions and documentation.

• Experienced cadaveric training sessions, gaining understanding in orthopedic anatomy, robotic-assisted techniques, and procedural accuracy.

• Supported logistical and technical tasks in research operations, enhancing lab efficiency and data organization.

• Strengthened understanding of infection control, perioperative care, and engineering integration in orthopedic surgery.

Skills & Focus Areas: Clinical Data Analysis · SSI Prevention · Orthopedic Surgery · Cadaveric Anatomy · Surgical Robotics