About The SkillClass
At SkillClass, we believe research should be practical, efficient, and accessible to everyone. Our mission is to simplify the entire research journey by combining proven research strategies with the power of AI, helping researchers work smarter, faster, and more effectively.
Built on the experience of publishing 80+ peer-reviewed papers and earning multiple international research awards, we've developed a step-by-step learning system that empowers undergraduate and graduate students, residents, physicians, and researchers to generate impactful research ideas, design high-quality studies, analyze data, write publication-ready manuscripts, and publish with confidence.
Behind The Skill Class
Meet the Founder,
Pedram Keshavarz, MD
I believe research shouldn't be overwhelming or reserved for a select few. After conducting research at leading institutions, including the University of California, Los Angeles (UCLA), Trinity Health, Michigan, and University of Georgia, Tbilisi, publishing 80+ peer-reviewed papers, receiving multiple international research awards, and presenting at premier conferences such as RSNA, SIR, SAR, and SABI, we developed a step-by-step research system that consistently produces high-quality, publication-ready work.
Today, through SkillClass, we are sharing that same system, enhanced with AI, to help undergraduate and graduate students, residents, physicians, and researchers accelerate their research, publish with confidence, and achieve more in less time.
The Latest Publications &
Research Updates
đź‘” Academic Leadership Role
Dr. Pedram Keshavarz has been appointed Vice Chair of the Society of Abdominal Radiology (SAR) Resident & Fellow Section for the 2026–2027 term and will serve as Chair for 2027–2028. This leadership appointment reflects his continued commitment to advancing radiology education, research, mentorship, and professional development within the academic community.
🥇 Resident Research Award
Received First Place at the 2026 9th Annual Resident Research Day for outstanding research and presentation, competing with residents across multiple specialties from two Trinity Health institutions.
📚 AI Research Publication
Our systematic review on artificial intelligence education in radiology has been published in Academic Radiology. The study evaluates the effectiveness of AI training, identifies current barriers, and provides practical recommendations for integrating AI into radiology education.