Dr. Aiyin Chen | Clinical Trials | Best Researcher Award

Associate Professor at Oregon Health & Science University | United States

Dr. Aiyin Chen is an accomplished ophthalmologist and glaucoma specialist, recognized for her expertise in clinical care, research, and academic leadership. She serves as an Associate Professor in the Department of Ophthalmology at Oregon Health & Science University’s Casey Eye Institute. Dr. Chen’s career bridges advanced patient care with groundbreaking research in glaucoma detection, machine learning risk prediction, and optical coherence tomography applications. She has led and collaborated on multiple NIH-funded projects, contributed extensively to peer-reviewed literature, and worked to improve vision health in underserved populations. Dedicated to advancing ophthalmic science, Dr. Chen’s work continues to shape the future of glaucoma care.

Publication Profile 

Google Scholar

Education 

Dr. Aiyin Chen earned her Bachelor of Arts degree in Biological Sciences with a Neurobiology and Behavior concentration from Cornell University, graduating magna cum laude with distinction. She obtained her Doctor of Medicine with thesis distinction from the University of California, San Francisco (UCSF) School of Medicine. Following medical school, she completed a transitional internship at Atlantic Health Morristown Memorial Hospital and Mount Sinai School of Medicine. Dr. Chen then pursued ophthalmology residency training and a glaucoma fellowship at UCSF. She is certified by the American Board of Ophthalmology and holds active medical licenses in Oregon, Washington, and California, with prior licensure in Nevada.

Experience 

Dr. Aiyin Chen professional journey includes service as a glaucoma specialist at Wellish Vision Institute, and surgical roles at Sunrise Hospital and Box Canyon Surgery Center in Las Vegas. She transitioned to academia at the Casey Eye Institute, Oregon Health & Science University, where she served as Assistant Professor before advancing to Associate Professor. Her clinical expertise encompasses complex glaucoma management and surgery, while her administrative and teaching roles support training the next generation of ophthalmologists. Dr. Chen has been deeply involved in multi-institutional research collaborations, NIH-funded studies, and projects integrating telemedicine and big data analytics to improve glaucoma detection, diagnosis, and patient outcomes.

Awards and Honors 

Dr. Aiyin Chen has earned multiple distinctions throughout her academic and professional career, including thesis distinction during her MD program and recognition for her NIH-funded research contributions in ophthalmology. She has been selected as a K12 Clinical Scientist Institutional Career Development Awardee, underscoring her leadership in translational research. Her grant portfolio includes principal investigator and co-investigator roles on high-impact glaucoma studies funded by the National Eye Institute and National Library of Medicine. Dr. Chen’s scholarship, mentorship, and commitment to improving vision health in underserved communities have established her as a leader in ophthalmic research, earning her recognition among peers in the global vision science community.

Research Focus 

Dr. Aiyin Chen research focuses on advancing glaucoma detection, risk prediction, and disease management through technology-driven approaches. Her work includes developing machine learning models to predict glaucoma onset and progression, exploring the use of optical coherence tomography angiography for early diagnosis, and designing telemedicine-based screening strategies for underserved areas. She has contributed to studies evaluating clinic efficiency through data modeling and examined ocular blood flow in glaucoma patients before and after surgical interventions. With a strong record of NIH-funded research, Dr. Chen’s efforts aim to integrate imaging, big data analytics, and community outreach to improve glaucoma care worldwide.

Publication Top Notes

Does in vitro susceptibility predict clinical outcome in bacterial keratitis?

Measuring glaucomatous focal perfusion loss in the peripapillary retina using OCT angiography

Semaglutide and nonarteritic anterior ischemic optic neuropathy

Scleral intraocular pressure measurement in cadaver eyes pre-and postkeratoprosthesis implantation

Patterns of neural activation associated with exposure to odors from a familiar winner in male golden hamsters

Asian herbal-tobacco cigarettes:“not medicine but less harmful”?

Effect of algorithms and covariates in glaucoma diagnosis with optical coherence tomography angiography

Focal loss analysis of nerve fiber layer reflectance for glaucoma diagnosis

Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data

Extraction of active medications and adherence using natural language processing for glaucoma patients

Integrating deep learning with electronic health records for early glaucoma detection: a multi-dimensional machine learning approach

Emerging frontline leaders’ voices in response to COVID-19 crisis

Surgical management of an optic nerve glioma with perineural arachnoidal gliomatosis growth pattern

Optical coherence tomographic angiography detects retinal vascular changes associated with pituitary adenoma