Clarisa Martinez

T32 Postdoctoral Fellow
Clarisa
Phone:

(323) 442-1630

Email:

Website:

http://pt.usc.edu/labs/mbnl/

Mailing Address:

1540 Alcazar St., CHP 155, Los Angeles, CA 90089-9006

Current Research:

Professional Interests
ClarisaMartinez, PT, DPT is a T32 Training in Rehabilitation Efficacy and Effectiveness Trials (TREET) Postdoctoral Fellow. My research interest is to understand how, after stroke-hemiparesis, motor behavior changes and adapts to functional task demands such as reach-to-grasp and how that understanding can be used to drive optimal motor recovery. My initial approach is to measure and characterize post-stroke motor behavior in functional tasks and to determine if a task-oriented training intervention results in a measurable change in movement strategy.  I have a background in motor rehabilitation focused on post-stroke upper extremity recovery that stems from clinical work as a physical therapist, my role as study coordinator for the phase 1 DOSE randomized clinical trial (RCT) and my current postdoctoral immersion and didactic training.  Currently, I am completing a Master of Science in clinical research for training in data analysis, study design, and clinical trial implementation to supplement my clinical background and enhance my capacity to independently conduct clinical research.

 

Education
  • 2009 University of Southern California, Doctor of Physical Therapy  
  • 2002 The University of Texas at Austin, Bachelor of Arts, English  
Selected Publications

 

  • Wang X, Liu BJ, Martinez C, Zhang X, Winstein CJ. Development of a novel imaging informatics-based system with an intelligent workflow engine (IWEIS) to support imaging-based clinical trials. Comput Biol Med. Mar 28 2015
  • Martinez CA and C Wang. Structural constraints on learning in the neural network. Journal of Neurophysiology. 2015. In press. 
  • Liu BJ, Winstein C, Wang X, Konersman M, Martinez CA, Schweighofer N. An imaging informatics-based ePR (electronic patient record) system for providing decision support in evaluating dose optimization in stroke rehabilitation. Proc. SPIE 8319, Medical Imaging. 2012.