Atul Kumar, M.D., M.B.A.

Teaching Philosophy

My teaching philosophy centers on promoting curiosity, innovation, and collaborative discovery. I have consistently engaged trainees and colleagues in translational research that bridges technical excellence with scientific inquiry, as evidenced by publications spanning endoscopic techniques, artificial intelligence applications, and clinical outcomes research. I believe effective teaching occurs at the intersection of clinical practice and investigation. By involving fellows and residents in diverse research projects—from developing AI-driven expert systems for gastrointestinal bleeding to pioneering novel endoscopic techniques, such as wire-guided cannulation, which reduces post-ERCP pancreatitis (PEP), a morbid and costly problem, to EUS-guided interventions —I create experiential learning opportunities that foster critical thinking and scientific rigor. These collaborative efforts, reflected in publications across premier journals including Gastrointestinal Endoscopy, Endoscopy, BMJ, and The Lancet, demonstrate my commitment to nurturing the next generation of clinician-investigators. My approach emphasizes hands-on mentorship, where trainees are co-authors and co-investigators, rather than merely observers. I challenge learners to question established paradigms, as exemplified by our work redefining post-ERCP pancreatitis criteria and exploring machine learning applications in clinical decision-making. This philosophy has consistently yielded publications in which trainees contribute meaningfully, developing skills in research design, data analysis, and scholarly communication. Ultimately, I view teaching as cultivating intellectual curiosity, technical mastery, and the courage to innovate—qualities essential for advancing the field of gastroenterology and improving patient care.

• Gastroenterology

  American Board of Internal Medicine
• Internal Medicine

  American Board of Internal Medicine

Areas of Interest

• ESG – Endoscopic Sleeve Gastroplasty
• Endoscopic Ultrasound
• Endoscopy

Areas of Interest

• Artificial Intelligence
• Artificial Intelligence Algorithms
• Endoscopic Ultrasound

Academic Articles