Experience

University of Illinois Chicago

• United States
• Higher Education
• 700 & Above Employee

• Assistive Technology Specialist

  • Mar 2014 - Present



University of Illinois Chicago

• United States
• Higher Education
• 700 & Above Employee

• Graduate Research Assistant

  • Jan 2012 - Dec 2013

  Department of Disabilities and Human Development➢ Evaluate clients on site and provide Assistive technology support to people with disabilities to improve their access to technology and help them realize their independence and access to technology ➢ Suggest wheel chair modifications for ease of access to technology and other workplace modifications

• Bioengineering Research Assistant

  • Aug 2011 - Dec 2013

  “Speckle Tracking based ultrasound imaging detects strain changes in Murine Heart during Acute Ischemia and Right Ventricular Pressure Overload”• Used Speckle tracking based ultrasound imaging to evaluate the Left ventricular remodeling upon introducing stem cells after Ischemia/Reperfusion• Assisted in performing Ischemia/ Reperfusion surgeries on the mouse model • Cultured and prepared Messenchymal stem cells for injecting them in the mouse heart



Harvard University

• United States
• Higher Education
• 700 & Above Employee

• Research Internship

  • Jan 2011 - Jul 2011

  "Portable Microfluidic chip for detection of Escherichia coli in produce and blood” Used novel microchip technologies to develop rapid viral load tests for monitoring HIV-1 antiretroviral treatment. • Developed a micro fluidic device for detection of E.coli for a point of care testing environment • Cultured E.coli, fabricated a device to capture and detect E.coli in food samples "Portable Microfluidic chip for detection of Escherichia coli in produce and blood” Used novel microchip technologies to develop rapid viral load tests for monitoring HIV-1 antiretroviral treatment. • Developed a micro fluidic device for detection of E.coli for a point of care testing environment • Cultured E.coli, fabricated a device to capture and detect E.coli in food samples