Experience

Nabsys
• United States
• Biotechnology Research
• 1 - 100 Employee
• Signal Processing Engineer

  • Jul 2022 - Present


The Johns Hopkins University Applied Physics Laboratory

• United States
• Defense and Space Manufacturing
• 700 & Above Employee

• Image Processing Researcher

  • Aug 2018 - Jul 2022

  Implemented image processing and computer vision algorithms to perform segmentation and detection in infrared imagery in the presence of sensor non-uniformity and scene clutter. Used signal processing and machine learning techniques to perform discrimination and classification of objects in a scene based on features computed from their IR and RF signatures. Presented work to sponsors and industry experts outside of APL. First-authored a paper undergoing submission to the 2022 Military Sensing Symposium ("Image Processing Algorithms for Precision Tracking of Boostphase Targets").



Networked Dynamical Systems Lab

• Research Assistant

  • Jan 2016 - May 2018

  PI: Dr. Enrique Mallada Used frequency demodulation techniques to extract information from carrier waves. Modeled multi-load power systems and simulated voltage collapse in response to power demand. Developed, in MATLAB, reactionary algorithms for power loads to prevent voltage collapse. Co-authored a paper submitted to the 2019 American Control Conference ("Voltage Collapse Stabilization: A Game Theory Viewpoint") PI: Dr. Enrique Mallada Used frequency demodulation techniques to extract information from carrier waves. Modeled multi-load power systems and simulated voltage collapse in response to power demand. Developed, in MATLAB, reactionary algorithms for power loads to prevent voltage collapse. Co-authored a paper submitted to the 2019 American Control Conference ("Voltage Collapse Stabilization: A Game Theory Viewpoint")



The Johns Hopkins University

• United States
• Higher Education
• 700 & Above Employee

• Teaching Assistant

  • Sep 2017 - Dec 2017

  Image Processing I - Dr. Goutsias (EN.520.414/614) Led weekly sections for both undergraduate and graduate students Image Processing I - Dr. Goutsias (EN.520.414/614) Led weekly sections for both undergraduate and graduate students



Lawrence Livermore National Laboratory

• United States
• Research Services
• 700 & Above Employee

• Research Intern

  • Jun 2017 - Aug 2017

  Conducted experiments on grain structures to study material stress in response to compaction. Performed computed tomography and reconstruction on X-Ray images using python. Segmented 3D images in MATLAB, both homogenous grains and fractured particles. Conducted experiments on grain structures to study material stress in response to compaction. Performed computed tomography and reconstruction on X-Ray images using python. Segmented 3D images in MATLAB, both homogenous grains and fractured particles.



Bevan Lab

• United States
• Media Production

• Research Assistant

  • May 2016 - May 2017

  Wrote scripts to process, segment, and analyze cell and colloid clusters in collected microscopic imagery Developed algorithms for cell processing using morphological image processing methods Created models to predict point spread on actual 3D images. Wrote scripts to process, segment, and analyze cell and colloid clusters in collected microscopic imagery Developed algorithms for cell processing using morphological image processing methods Created models to predict point spread on actual 3D images.



Odyssey Program

• Business Consulting and Services

• Office Assistant

  • Sep 2014 - May 2017

  Acted as representative for the program for callers and visitors to the building. Provided audio / visual support for classes, delivered necessary material Performed general office tasks (databasing, copying, filing of material) Acted as representative for the program for callers and visitors to the building. Provided audio / visual support for classes, delivered necessary material Performed general office tasks (databasing, copying, filing of material)



Lonza

• Switzerland
• Pharmaceutical Manufacturing
• 700 & Above Employee

• Research Intern

  • May 2016 - Aug 2016

  The goal for LONZA was to develop an application to detect foreign particles and cells in biological samples (a task performed manually at the time). Algorithms were prototyped on MATLAB for segmentation and analysis of collected imagery using phase contrast microscopy. A device was built both for mixing and imaging the samples using different imaging techniques. The final application allowed for human intervention in identification of the particles. Work was contracted through the Bevan Lab at Johns Hopkins University



AICPS Lab

• Student Intern

  • Jun 2013 - Aug 2013

  Studied Microgrid simulation using MATLAB and GridLAB-D. Built robots using Mindstorms parts, then programmed them using LabView to perform a set of defined tasks. Projects were researched, developed, and presented myself. Studied Microgrid simulation using MATLAB and GridLAB-D. Built robots using Mindstorms parts, then programmed them using LabView to perform a set of defined tasks. Projects were researched, developed, and presented myself.