Ashley Collimore, Ph.D.
Postdoctoral Associate
NEWS
BIOENGINEERING PAPER
January 2024
Our team developed and evaluated a CEntral DRive System (CEDRS) for the clinical assessment of plantarflexor central drive in individuals post-stroke. View the paper.
ASB PLATFORM PRESENTATION
August 2023
I will be presenting my work investigating the best measure of neuromotor impairment for the identification of the primary cause of post-stroke walking. This abstract was selected as a finalist for the Clinical Biomechanics Award and earned me a Student Travel Award.
NNR PAPER
June 2023
As a follow-up to our previous paper, in this work we explored the effect of a single, automated gait training session using music on post-stroke walking symmetry and energy expenditure. View the paper.
IWB BLOG
October 2021
Check out my two blog posts discussing tips and tricks for writing an F31 application.
FRONTIERS IN AGING
July 2021
My first first-author has been accepted to Frontiers in Aging Neuroscience! We showed that the dynamic motor control index can identify neuromuscular changes in aging in a way muscle synergies cannot. Read the article here.
BEST PAPER AWARD
May 2021
Incredibly excited to announce that our paper was chosen as the Best Paper for NER 2021. Special congratulations to my lab mate Regina Sloutsky on this award.
NEUROBOSTON2020 POSTER
October 2020
Excited to share my first, first-author work at NeuroBoston 2020! This study investigates the impact of age and stroke on neuromotor control.
View the poster.
ASB2020 POSTER PRESENTATION
August 2020
I had an amazing time attending my first (virtual) biomechanics conference and presenting our recent work looking at peak propulsion timing in post-stroke walking. View the poster.
CSM2020 POSTER PRESENTATION
February 2020
Excited to be a part of my first poster with the NRL! My colleague Macauley presented our work on the change in metabolic cost after a single training session with a music-based digital therapeutic.
View the poster.
CHC2017 POSTER PRESENTATION
September 2017
Presented our work on user errors, clever work-arounds, and health related uses of the Amazon Alexa from reading product reviews. Medical companies can use this information to build more successful Alexa skills for their patients. View the abstract.