Fei Mo
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Fei Mo Email & Phone Number

Graduate Student at Illinois Institute of Technology || opening for full time position at University of Illinois College of Medicine
Location: Chicago, Illinois, United States 5 work roles 2 schools
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Role
Graduate Student at Illinois Institute of Technology || opening for full time position
Location
Chicago, Illinois, United States

Who is Fei Mo? Overview

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Fei Mo is listed as Graduate Student at Illinois Institute of Technology || opening for full time position at University of Illinois College of Medicine, based in Chicago, Illinois, United States. AeroLeads shows a matched LinkedIn profile for Fei Mo.

Fei Mo previously worked as Research Specialist at University Of Illinois College Of Medicine and Teaching Assistant at Illinois Institute Of Technology. Fei Mo holds Master Of Science - Ms, Biomedical/Medical Engineering, 3.88 from Illinois Institute Of Technology.

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University of Illinois College of Medicine

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About Fei Mo

Currently studying at Illinois Institute of Technology. Good at doing experiments and problem-solving. Willing to learn anything new. Always tough and calm, ready to face any challenges.

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University of Illinois College of Medicine
University Of Illinois College Of Medicine
Graduate Student at Illinois Institute of Technology || opening for full time position
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5 roles

Fei Mo work experience

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Research Specialist

Current

Chicago, Illinois, United States

- Assist in developing image analysis methodologies and algorithms for use in research applications.- Use different microscope imaging systems to acquire images.- Responsible for image data and sample collection and organization.

Apr 2022 - Present

Teaching Assistant

Chicago, Illinois, United States

• Teaching assistant of BME 309 Biomedical Imaging.• Responsible for assignments, midterm exams, and final exam grading.• Hold office hours for students.• Assist students with their assignments (including coding and professional writing) and projects design, arrange midterm exams and final exam.

Aug 2021 - Feb 2022

Clinical Researcher/Graduate Thesis

Illinois Institute Of Technology/University Of Chicago Medical Center

Chicago, Illinois, United States

• MS Thesis: RADIAL MAP ASSESSMENT APPROACH FOR DEEP LEARNING DENOISED CARDIAC MAGNETIC RESONANCE RECONSTRUCTION SHARPNESS. • Developed an interactive, clinical assessment software of Cardiac perfusion MRI datasets toperform quantitative sharpness assessments of paired deep learning (DL) and non-DL-based reconstructions provided by MRI vendor (GE HealthcaAIR).• Initial software validation findings were accepted and presented at BMES 2021 Annual Meeting. In addition to one clinical… Show more • MS Thesis: RADIAL MAP ASSESSMENT APPROACH FOR DEEP LEARNING DENOISED CARDIAC MAGNETIC RESONANCE RECONSTRUCTION SHARPNESS. • Developed an interactive, clinical assessment software of Cardiac perfusion MRI datasets toperform quantitative sharpness assessments of paired deep learning (DL) and non-DL-based reconstructions provided by MRI vendor (GE HealthcaAIR).• Initial software validation findings were accepted and presented at BMES 2021 Annual Meeting. In addition to one clinical journal led by UofC (Patel) as co-author, currently finalizing a manuscript as first-author for JMRI or analogous target MR journal submission.• Performing several in-house Deep Learning Convolutional Neural Network (CNN), as well as VGG10-19 implementations with Jupyter Notebook and Python (project results are currently unpublished). These include Cardiac MR dataset analyses for functional b-SSFP cine, first-pass perfusion, 4D Flow, MDixon Coronary imaging, and 3D and 4D Cardiac QSM (research technique) from Philips and GE Healthcare.• Currently serve as one of 3-person graduate student team (Kawaji Lab) that maintains the 500-patient Cardiac MR anonymized database with past DNN and classical algorithmic methods developed-in house; currently in a preliminary discussion with GE for a full-CMR study (perfusion, LGE, black-blood) analysis using my developed software tool.• Served as the primary mentor for one of our lab members. Show less

Sep 2019 - Dec 2021

Research Assistant/Program Mentor

Chicago, Illinois, United States

• Built and tested phantoms of the human brain and heart for MRI tests.• Analyzed MRI scans of the phantoms using MATLAB• Served as Program mentor for local K12 students who participated in BME Summer Program in July 2021.• Co-first author of BMES 2019 poster “Compressed Sensing MRI Revisited with BME Principles Re-Taught via Mathematics Principles”, presented in Philadelphia, PA October 2019.• Collaborated with visiting professors Dr. Richard Hoshino (Quest University Canada)

Jan 2019 - Aug 2019

Supplementary Instructor

Illinois Institute Of Technology Academic Resource Center

Chicago, Illinois, United States

• Tutored undergraduate students in Calculus II• Developed additional practice problems and researched supplementary resources to aid students• Provided mentorship and advice on how to improve study habits

Sep 2018 - Dec 2018
2 education records

Fei Mo education

FAQ

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What company does Fei Mo work for?

Fei Mo works for University of Illinois College of Medicine.

What is Fei Mo's role at University of Illinois College of Medicine?

Fei Mo is listed as Graduate Student at Illinois Institute of Technology || opening for full time position at University of Illinois College of Medicine.

Where is Fei Mo based?

Fei Mo is based in Chicago, Illinois, United States while working with University of Illinois College of Medicine.

What companies has Fei Mo worked for?

Fei Mo has worked for University Of Illinois College Of Medicine, Illinois Institute Of Technology, Illinois Institute Of Technology/University Of Chicago Medical Center, and Illinois Institute Of Technology Academic Resource Center.

How can I contact Fei Mo?

You can use AeroLeads to view verified contact signals for Fei Mo at University of Illinois College of Medicine, including work email, phone, and LinkedIn data when available.

What schools did Fei Mo attend?

Fei Mo holds Master Of Science - Ms, Biomedical/Medical Engineering, 3.88 from Illinois Institute Of Technology.

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