Elyar Ghafoori, Ph.D.
Senior Director, Data Science - Cardiology @ GE HealthCare
About
I lead the developing and validation of advanced algorithms for electrocardiography applications. I have a PhD in Bioengineering with a focus on cardiovascular engineering and over 10 years of experience in algorithm development, signal processing, feature extraction, and biophysics. I have published multiple papers in peer-reviewed journals in the field of electrophysiology. I am passionate about applying my expertise and skills to create innovative solutions that improve diagnosing and treating cardiac arrhythmias and other cardiovascular diseases.
United States
Greater Milwaukee
Biotechnology
Key Performance Indicators, Customer Interaction, Content Strategy, Analytical Skills, Poster Presentations, Grant Proposals, Technical Papers, Communication, Coaching & Mentoring, Regulatory Affairs, C/C++, Medicine, Good Clinical Practice (GCP), Matlab, Biomedical Engineering, ECG Signal Processing, Cardiology, Image Processing, Data Analysis, Machine Learning
Experience
Senior Director, Data Science - Cardiology
GE HealthCare
Board Member
The International Society for Computerized Electrocardiology (ISCE)
Director, Algorithms - Electrophysiology
Masimo
Manager, Algorithms - Electrophysiology
Masimo
Irvine, California, United States
Senior Algorithm Engineer
Masimo
Irvine, California, United States
Consultant
Synaptic
-Developed comprehensive requirements for a Cardiac Mapping platform. -Created core algorithms for Contact Mapping, enhancing accuracy and performance. -Designed a real-time contact mapping system, optimizing operational efficiency.
Scientist
Acutus Medical, Inc.
Carlsbad,CA
-Developing digital signal and image processing algorithms to analyze bio-signals and medical images. -Working with cross functional teams to prototype software algorithms to meet marketing needs. - Conducting V&V testing and prepare results from animal studies and clinical trials for FDA 510k submissions. - Contributing to scientific publications and conference abstracts with collaboration of clinical partners on new products. - Conducting scientific reaserach to implement new algortithms to improve performance on current algorithms, and assess feasibility of possible future products.
Postdoctoral Research Fellow
University of Utah Health
Greater Salt Lake City Area
Graduate Research Assistant
University of Utah Health
Greater Salt Lake City Area
-Developing digital signal and image processing algorithms to analyze bio-signals and medical images. -Writing protocols to conduct animal and clinical studies to study cardiac arrhythmias that involve cardiac catheterization to assess electrophysiology, mechanical function and delivering ablation therapies. -Operating multiple cardiac mapping systems (CARTO -Johnson & Johnson , Rhythmia-Boston Scientific, and Ensite - Abbot Medical) that involve real-time and simultaneous signal, magnetic, and impedance acquisition. -Designing cardiac MRI protocols and developing automated feature extraction on numerous MRIs, CTs and Ultrasound Images. -Performing pathology and histology on cardiac tissue. -Developing computational models to simulate cardiac arrhythmias.
Research Assistant
Oregon Health & Science University
Portland, Oregon Area
-Processed big data (12 ECG lead signals) and developed automated algorithms to detect ECG markers. - Classified ECGs using machine learning techniques to develop a risk factor for sudden cardiac death. -Acquired and analyzed body surface potential mapping (BSPM) data from patients with cardiac resynchronization therapy (CRT) devices. - Developed inverse solutions to map the BSPM signals to heart geometry. -Analyzed strain data from the cardiac ultrasound.
Instructor
California State University, Long Beach
Long Beach
EE 386 Lab - DSP Lab (Instructor)
Graduate Teaching Assistant
California State University, Long Beach
Education
University of Utah
Bioengineering (Cardiovascular Engineering)
California State University, Long Beach
Electrical Engineering
Recognized Presentation - IEEE 14th Annual Biotech Conference Caltech Recognized Poster Presentation - IEEE Annual Green Energy CSULB 3rd Place IEEE 16th Biotech Contest
Elyar Ghafoori, Ph.D.'s Contact Information
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