
Yilan
PhD
Expertise
method development to better understand the disease causes, applications of machine learning/deep learning in biology

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.

method development to better understand the disease causes, applications of machine learning/deep learning in biology

Cancer, optics, imaging, nanotechnology, engineering, chemistry, electrical engineering, chemical engineering, bioengineering, biomedical engineering, pathology, laboratory medicine, transfusion medicine

computational genomics, bioinformatics, epigenetics, neurological diseases, health data science, machine learning for health data

Cancer Biology, Molecular/Cellular Biology, Biochemistry, Science Communication, Immunology, Medicine, Biochemistry, Cell Death, Metabolism

coding, calculus, modeling, online game creation, epidemiology, biostatistics

Pre-Medical studies, Biology, Immunology, Microbiology, Medicine, Physiology, Anatomy, Dermatology, any other topics related to biology or medicine

My degrees are in Biomedical Engineering from Columbia University and a Masters in Bioengineering from UCSD. I am an expert in tissue engineering, drug delivery, imaging analysis and disease.

Cancer biology, medical science and physiology, understanding human disease, scientific writing and education

Pharmacy/healthcare-realted topics! (could be general medicine, healthcare, cancer etc.)

biomedical engineering/sciences, oncology, immunology, tissue engineering, regenerative medicine

Pathophysiology of diseases, Psychology, Mental health, Holistic medicine, Biochemistry, Psychiatry, Neurology, Community Health, Preventative Health, Pediatrics

Neuroscience, molecular biology, psychology, neuroinflammation, biomedical science

Medicine, Clinical medicine, Radiology, Interventional radiology, MRI, CT, Ultrasound

biology, medicine, neuroscience, Bioinformatics, Writing, Data science and AI for health and medicine, applications of neuroimaging, Genetics, Neuroscience, Neuroimaging, data visualization using real datasets, Precision medicine and the future of healthcare

Medicine, biostatistics, bioinformatics, neuroscience, autism, athletics, big data, disparities

Public health, healthcare, child health policy, resilience, child development