Tutors with medical training and teaching experience
Medlearnity tutors come from medical schools, residency programs, hospitals, and training pathways where strong exam performance and clear teaching both matter. The current tutor roster includes MDs, residents, fellows, and medical students with experience across a wide range of medical training environments.
Prospective students need to understand that Medlearnity is not a generic tutoring marketplace. The tutoring team is built around medical learners teaching other medical learners through exam-specific reasoning, study strategy, and content review.
How tutor matching works
Tutor matching starts with the student’s exam, timeline, current score trend, learning style, and goals. A student preparing for Step 1 may need a different educator than a resident preparing for ABSITE or an applicant working on admissions. Medlearnity uses that context to pair students with someone who can support the actual problem in front of them.
Students may need help with:
- Explaining difficult medical concepts clearly.
- Turning question misses into repeatable reasoning steps.
- Building a realistic study schedule.
- Identifying weak topics from practice-test data.
- Preparing for a retake with a more focused plan.
- Staying accountable between sessions.
- Working through admissions strategy or interview preparation.
What strong tutoring feels like
Strong tutoring is specific. A session is not a generic lecture that could be watched anywhere. The tutor works to understand what the learner has already tried, why the current approach is not working, and what needs to change before the next practice block, clerkship exam, board exam, or application deadline.
The tutor page helps students see the teaching depth behind the service. Tutor bios, credentials, specialties, and reviewer signals matter because medical learners need confidence that their tutor understands both the exam and the pressure around it.
Eytan Palte, MD 
Madeleine Basist, MD 
Pranav Rekapalli 
Viemma Nwigwe, MD 
Keith Cordner 
Melissa Wing, MD 
Kush Patel, MD 
Ken Nakanote, MD 
Victoria Lord 
Haigreev Yedla 
Sylvia Rhodes 
Lucy Wang 
Max Frankfurter 
Farid Ghamsari 
Keon Youssefzadeh 
Robert Rosen 
Richard Wang, MD 
Walid Ashmeik 
Sai Bhatte 
Dani Brown 
Fawaz Naeem 
Daksh Chauhan 
Joseph Lu 
Anna Chen 
Mimi Kim 
Justin Sardi 
Smrithi Prem 
Shawn Sun 
Dustin Crystal, MD 
Surabhi Menon, MD 
Amelia Lanier, MD 
Louis Fanucci, MD 
Yehuda Elkaim 
Ashley London 
Nick Cuccolo, MD 
Salman Alam 
Benedict Osorio, MD 
Amit Syal 
Sarah Bell 
