Sage
MD/PhD candidate
Expertise
Medicine, Neuroscience, Drugs & Pharmacology, Chronic Pain, Cellular Molecular Biology
Research Program Mentors
Polygence mentors are selected based on their exceptional academic background, teaching experience, and unique ability to inspire the next generation of innovative thinkers and industry leaders.
Sameera
MD candidate
Expertise
neuroscience, neurodegenerative diseases, addiction studies, behavioral psychology, cancer medicine
Rachel
PhD
Expertise
Neuroscience, molecular biology, psychology, neuroinflammation, biomedical science
Kaitlin
DNP
Expertise
Public health, healthcare, child health policy, resilience, child development
Evanka
MD candidate
Expertise
Arts, Creative Writing, Healthcare, Literature, Medicine, Neuroscience, Public Health, Maternal and Child/Adolescent Health, Psychiatry
Lananh
PhD candidate
Expertise
Gene therapy, Organ-on-chip, regenerative medicine, precision medicine, molecular biology, immunology, microbiology, biomaterials, tissue engineering
Carin
MD/PhD
Expertise
Neuroscience, genetics, neurodevelopmental disorders, medicine, rare diseases
Karim
PharmD
Expertise
Pharmacy/healthcare-realted topics! (could be general medicine, healthcare, cancer etc.)
Alex
MD candidate
Expertise
clinical biology, cognitive psychology, US history, classic literature, LGBTQ+ history and rights
Bhairavy
PhD candidate
Expertise
biomedical engineering/sciences, oncology, immunology, tissue engineering, regenerative medicine
Salman
MD
Expertise
Psychology, Social Neuroscience, Biology, Medicine, Pre-med, Medical school admissions, MCAT, Neuroscience
Rishabh
MD candidate
Expertise
medicine, oncology, qualitative research, internal medicine, mixed methods, assessing psychosocial needs of cancer patients, addressing social determinants of health and quality of life for cancer patients, career advice
Mina
MD/PhD candidate
Expertise
special interests in cardiovascular disease, eye disease, health policy, and innovations in medicine
Yilan
PhD
Expertise
method development to better understand the disease causes, applications of machine learning/deep learning in biology
