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JAMA Pediatrics Published Paper - Effect of Wearable Digital Intervention for Improving Socialization in Children With Autism Spectrum Disorder

March 25, 2019

Springtime is here, and sunglasses are finally back in season.

The medical journal, JAMA Pediatrics, has featured our recently published paper on the Wall Lab’s own eyewear, the Superpower Glass, entitled “Effect of Wearable Digital Intervention for Improving Socialization in Children With Autism Spectrum Disorder”. This study examines the efficacy of an artificial intelligence-driven wearable behavioral intervention using the Google Glass for improving social outcomes of children with ASD.

Check out the published research article here: https://jamanetwork.com/journals/jamapediatrics/fullarticle/2728462


PLOS Medicine Front Page - Mobile detection of autism through machine learning on home video

November 27, 2018

The Wall Lab is back with some very exciting news!

PLOS Medicine Front Page

The medical journal, PLOS Medicine, has featured our recently published paper on the Machine Learning Diagnostic Classifiers, entitled “Mobile detection of autism through machine learning on home video: A development and prospective validation study”. This study examines the potential of feature tagging home videos for machine learning classification of autism to speed up diagnosis without compromising accuracy.

Check out the published research article here: https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002705


Autism Therapy on Glass Press Release after Recent Study

August 06, 2018

The Wall Lab is back with some very exciting news:

We have recently completed a study on the Autism Therapy on Glass project, and have published the paper to the journal npj Digital Medicine, entitled “Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism”. This study examines the Google Glass’s potential for social-affective learning for children with autism.

Check out the press releases below!


Finding Solutions for People with Autism and Their Families

March 07, 2018

Recent advances by scientists, clinicians, educators and engineers are speeding developments in diagnosing and treating autism, understanding its root causes, and helping people with autism and their families live full lives. Read all about the great research from the School of Medicine below!

Finding Solutions for People with Autism and Their Families | Stanford News


Opening for Postdoctoral Research Fellow

January 10, 2018

The Position

The Wall Lab in the Department of Pediatrics, Division of Systems Medicine, and Department of Biomedical Data Science at Stanford University seeks a talented, highly motivated researcher with a background in computational genomics. The main project of the Lab is to identify genetic risk factors in Autism Spectrum Disorder with whole genome sequencing (WGS) data sets and associated phenotypes. Our data set is one of the largest of its kind providing a unique opportunity to analyze large-scale whole genome data sets in the cloud, to disentangle the genotype-to-phenotype roadmap for this complex polygenic disorder, and to work closely with groups of exciting collaborators.

Responsibilities include:

  • To lead in the development of computational tools and resources/databases to analyze whole genome data sets, especially for non-coding region analysis.
  • To provide bioinformatics resources to the members of the Lab.
  • To monitor and evaluate analytical aspects of new and emerging technologies.
  • To architect, implement, optimize and maintain a local data warehousing architecture capable of managing and providing efficient access to terabytes of research data.

The candidate will be called upon to present work at national and international research conferences.

Qualifications:

Required:

  • Ph.D. in computational biology/genomics or related discipline.
  • Proven understanding and experience in WGS pipelines, analyses, and databases.
  • Experience with WGS analysis tools: BWA, GATK, etc.
  • Experience with Linux/Unix/HPC environment.
  • Programming skills with proficiency in Python, Java, and/or R.

Desired:

  • Experience with cloud development ecosystems – Google or AWS.
  • Experience with statistical analysis is strongly preferred.
  • Capability of working independently as well as part of a team.
  • Ability to present/visualize outputs to multidisciplinary audience.

Interested candidates should send an email to Dennis Wall at dpwall@stanford.edu.