Jasmin Rizko

Experience

1. Phd Candidate

   Usc Viterbi School Of Engineering

   Jun 2022 — Present · Los Angeles, CA, US

   Working under Dr. Vasilis Z Marmarelis, I primarily utilize dynamic linear modeling techniques, namely the Laguerre Expansion Technique (LET), to model physiological systems, with a focus on how cerebrovasculature behaves and declines in clinical dementia and Alzheimer\'s Disease populations compared to healthily aging populations.As part of this work, I collaborated with a team at the University of Leicestershire, applying our lab\'s methodology to their dataset, resulting in a first-author publication demonstrating how cerebral autoregulation behaves in a healthy aging population while cognitively active. As a follow-up paper, I aim to apply the same analysis and compare the results of the aforementioned cohort to an age-matched group of cognitively impaired elderly adults (paper pending).For my dissertation, I am currently running an IRB-approved study to explore the effects of transcutaneous auricular Vagus Nerve Stimulation (taVNS) on a healthy cognitively active adult population by applying the LET to physiological signals in various configurations.

Education

• Harvey Mudd College

  Bachelor of Science - BS, Mathematical and Computational Biology

  2014 — 2018

• University of Southern California

  Master of Science - MS, Medical Device and Diagnostic Engineering

• University of Southern California

  Doctor of Philosophy - PhD, Biomedical/Medical Engineering

Skills

• Molecular Cloning
• Cell Biology
• Java
• Python
• Racket
• Powerpoint
• Prolog
• Research
• Biochemistry
• Calculus
• Multivariable Calculus
• Mechanics
• Microsoft Office
• Matlab
• Statistics
• Latex
• Cell Culture
• Data Analysis
• Cell
• Solidworks
• Traditional Cloning
• R
• Ngs
• C++
• Swift
• Ios Development
• Xcode
• Mysql