Current Students: M-TRAM 2023/24
Fatima Al Rashid
Medical Student
Stanford Medicine
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Colleen Craig
Colleen Craig
Quote of the day.
Hamid Abdrabu
LSRP - Cardio
Stanford CVI
Ishita Agarwal
Research Associate
ReCode Therapeutics
M-TRAM Alumni
“I joined M-TRAM to learn how to successfully translate my current and future discoveries into practical clinical applications, which would improve the lives of my patients.
“I want to better the lives of those around me through innovative clinical applications. M-TRAM taught me effective translational research methods that I will utilize in my future career in medicine.
Chris Aboujudom '23
Gohazrua Butler '23
Nirk Quispe Calla, MD '23
Frank Lin '23
Julian Wolf, MD '23
"M-TRAM master's program equipped me with skills to develop my career as a translational research scientist.
NEWS ABOUT OUR M-TRAM GRADUATES
Frank Lin, MS, M-TRAM Graduate '23, contributes to breakthrough cancer treatment research: his M-TRAM Capstone Project mentored by Professor Crystal Mackall culminates in high-impact Nature paper.
The study, which was a culmination of Frank's capstone research for M-TRAM, demonstrated a novel approach to cancer therapy by combining antibodies with T cells. By engineering a variant of the CD47 protein, which usually signals immune cells not to attack healthy tissue, researchers enhanced the immune system's ability to target cancer cells. This breakthrough could pave the way for more effective cancer treatments, leveraging the body's own defenses to combat tumors with greater precision and potency.
Wolf Earns M-TRAM Master’s Degree | Mahajan Laboratories
Palo Alto, CA — Julian Wolf M.D., postdoctoral fellow in the Mahajan Lab, graduated with the first class of Stanford’s Master of Science in Translational Research and Applied Medicine (M-TRAM) Program. Nobel Laureate and Stanford Professor Carolyn Bertozzi Ph.D. gave the keynote and her congratulations to Julian. The aim of the M-TRAM Program is to give graduates the tools to
'Disease accelerates aging': Stanford researchers develop an AI-driven aging clock for eyes
Using eye fluid samples from liquid biopsies, Stanford researchers created a protein-cell map connecting 6,000 eye proteins back to their cellular origins, 26 of which were incorporated into an AI model to predict a patient’s age.
Important Dates
Interested in Becoming an M-TRAM Industry Partner?
We welcome inquiries from biotechnology, pharmaceutical and other health care organizations interested in learning about opportunities to partner with M-TRAM: