Candida

9/28/2014
Cambridge, MA

Position Desired

Biomedical Engineering
Anywhere in the U.S.
Yes

Resume

CANDIDA JANE MARIA USTINE


EDUCATION: Cornell University, Ithaca, New York May 2010
Master of Engineering - Electrical and Computer Engineering
GPA: 3.51/4.0
Anna University, Chennai, India May 2009
Bachelor of Engineering - Electronics and Communications Engineering
GPA: 4.0/4.0

Relevant Courses: Biomedical Devices, Electronic Circuits, Medical Electronics, Computer Vision, Computer Analysis of Biomedical Images, Digital Signal Processing, Biomedical Optics, Imaging and Spectroscopy, Integrated Circuits, VLSI Design, Control Systems

Honors & Awards: 2005 to 2009 Undergraduate Merit Scholarship, Dr. Jeppiaar Educational Trust Award
2009 Gold Medalist in University, M.S. Swaminathan Trust Award


RELATED EXPERIENCE:
Aug 2011-Present Research Technician II
Massachusetts General Hospital - Athinoula A. Martinos Center for Biomedical Imaging
· Programmed and streamlined EEG-MEG, MRI and fMRI analyses for projects
· Developed an artifact correction algorithm for MEG and EEG datasets
· Designed and coded a visualization algorithm for fMRI activations on brain surface
· Solely responsible for testing, maintenance and repair of lab equipment
· Monitored, facilitated and coordinated Image/Signal acquisitions, independent patient interaction

Jun 2010 -July 2011 Project Support Specialist
Research Foundation SUNY Upstate Medical University
· Supervised and conducted image acquisitions from Multi Photon, Confocal Microscopes
· Developed an automated system to quantify dendrites' branch angle extension & retraction velocities
· Guided and trained Graduates and Undergraduates (in Neuroimaging software, MATLAB)
· Proposed an automated 3D visualization prototype of the traced neurons in extracellular space

Dec 2009 ­ April 2010 Graduate Research Assistant
Cornell University, Biomedical Engineering
· Developed an automated algorithm that segments body surface from CT scans for needle guided biopsy procedures
· Developed a 3D visualization of body surface from segmented 2D data sets (CT scans)
· Programmed a system to automatically seg...

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