Dr. Dennis Wall

Professor

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Biography

Dennis Wall is a Professor in the Departments of Pediatrics and Biomedical Data Science at Stanford University. He also holds a courtesy appointment in the Department of Psychiatry and Behavioral Sciences. His research is centered on Pediatric Innovation and focuses on developing biomedical informatics methods to disentangle the complex conditions that originate in childhood and perpetuate through the life course, particularly related to autism and developmental delays. For over a decade, he has been a faculty member at both Harvard University and Stanford University, witnessing a shift in healthcare towards the increased use of digital technologies for data capture. Dr. Wall has innovated and adapted bioinformatic strategies that enable precise interpretation of high-resolution molecular and phenotypic data. He has pioneered the use of machine learning and artificial intelligence for the rapid and quantitative detection of neurodevelopmental disorders in children, leveraging technologies like wearable devices and real-time “exclinical” therapy. His contributions have defined new paradigms in behavioral detection and therapy, earning him recognition as one of the top autism researchers worldwide.

Research Interests

Courses

BMDS 201A BMDS 201B BMDS 201C BIOE 212 BMDS 212 CS 272 GENE 212 BMDS 295 BIOE 392 BMDS 299 PEDS 299 BIOE 391 PEDS 280 NEPR 399 PEDS 399 BMDS 370 PEDS 370 PEDS 199 BIOMEDIN 201 BIOMEDIN 304 BIODS 201

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.