Dr. Dunhui Li

Assistant Professor

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Biography

Dunhui Li is an Associate Research Scientist in the Department of Neurology at Yale School of Medicine, focusing on the development of antisense oligonucleotide therapies for neurological conditions, particularly Parkinson's disease. He completed his medical education and postgraduate training in China from 2008 to 2016 and has since moved to Australia to enter the field of molecular genetics therapeutics. Dr. Li has worked with pioneers in the field, such as Professors Steve Wilton and Sue Fletcher, contributing to the development of FDA-approved antisense drugs for Duchenne muscular dystrophy. His doctoral research, conducted from 2016 to 2021, was centered on creating antisense oligonucleotide treatments for Parkinson's disease. His work has led to a patent application licensed by the Perron Institute and Black Swan Pharmaceuticals, focusing on innovative genetic therapy for Parkinson's disease. Dr. Li joined the Adams Center at Yale in November 2024, where he is leading efforts to develop precise and effective therapies for this condition.

Research Interests

Experience

Associate Research Scientist

2024-11-01 — Present

Yale School of Medicine • New Haven, CT, USA

Leading research efforts in developing therapies for Parkinson's disease.

Patents

Genetic Therapy for Parkinson's Disease

US20230081388A1

Patented application for a novel genetic therapy targeting Parkinson's disease.

N/A

Requirements for Yale University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
TOEFL
Listening
Required:25
Speaking
Required:26
Total
Required:100
IELTS
Speaking
Required:7.5
Overall
Required:7
Prerequisites
Bachelor's degree in Engineering, Physics, Chemistry, Computer Science, or Mathematics
Application Checklist
  • Statement of academic purpose
  • Unofficial transcripts
  • Three letters of recommendation
  • Application fee ($105)
  • Resume/CV
Specialization Notes

Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.