About Me
Hi, I’m an undergraduate Biomedical engineering student at the University of Michigan.
I am interested in research towards bioinformatics and precision medicine in oncology.
I have experience in product design using SolidWorks and COMSOL and programming in MATLAB, Python, R and C++.
Skills Python, MATLAB, R, C++, statistical anlaysis, time management skills, attention to detail
Hobby Reading, Blogging, Yoga, Travel
Experience
University of Michigan
Research Assistant in Integrated Brain Imaging Lab
November 2021 - Present
https://libi.engin.umich.edu/
• Assisted research in finding how the brain specifically monitors and modulates the gastric system, and what consequence this regulatory interaction has on cognition, emotion, and digestive function
• Collected gastric myoelectric data via surface electrodes placed on the abdomen above the stomach with BIOPAC MP160
• Analyzed brain-gut coupling within the human body using MATLAB and Python
Keimyung University Dongsan Hospital
Researcher in Nuclear Medicine Department
December 2020 - July 2021
https://dongsan.dsmc.or.kr:49870/
• Researched in predicting the SUVmax of axillary lymph node(ALN) metastasis in patients with breast cancer from PET/CT images using the deep learning algorithms.
• Gained a strong foundation understanding of the methods of diagnosing breast cancer through axillary lymph node metastasis and treatments conducted for breast cancer.
• Extracted and analzsed data features in PET images of Intra-hepatic cholangiocarcinoma patients using 3D slicer and Pyradiomics to predict the stages before surgery
National Cancer Center Korea
Researcher in Precision Medicine Department
December 2020 - July 2021
https://ncc.re.kr/indexEn.ncc
• Researched in predicting the SUVmax of axillary lymph node(ALN) metastasis in patients with breast cancer from PET/CT images using the deep learning algorithms.
• Gained a strong foundation understanding of the methods of diagnosing breast cancer through axillary lymph node metastasis and treatments conducted for breast cancer.
• Extracted and analzsed data features in PET images of Intra-hepatic cholangiocarcinoma patients using 3D slicer and Pyradiomics to predict the stages before surgery
Education
University of Michigan
BSE Biomedical Engineering
2020 - 2022
A top-ranked public university, the University of Michigan has a tradition of excellence in research, learning and teaching, sports and the arts, and more
During my time at University of Michigan, I learned most of my key skills that have I have taken through my career such as teamwork and working to tight deadlines. I thouroughly enjoyed my time as university and learnt a lot about a healthy work life balance.
Relevant Coursework
- BIOMEDE 458 [Biomedical Instrumentation and Design]
- Project : Continuous Glucose Monitor Using Near-Infrared-Spectroscopy
- Project : Continuous Glucose Monitor Using Near-Infrared-Spectroscopy
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BIOMEDE 442 [Introduction to Biomedical Imaging]
- BIOMEDE 350 [Introduction to Biomedical Engineering Design]
- Project : Hip implant desgin using COMSOL and solidworks
- Project : Hip implant desgin using COMSOL and solidworks
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IOE 366 [Introduction to Engineering Data Analytics]
- BIOMEDE 241 [Statistics, Computation, and Data Analysis]
- Project (Python)
1) Human immune cell data for 19 cytokines against 4 immune stimulants (Synthetic HIV TLR agonists (CLO97), HIV TLR agonist (Gag 1166), non-replicating lab strain HIV (AT-2), wildtype HIV virus ( NL-43)) to see if there is a significant difference. Used a heatmap to indicate which specific stimulants are significant
2) Found out how neurons in the motor cortex relate to the direction of movement when humans or monkeys reach different goals arranged around a circle. After generating simulated firing rates of 100 of these neurons using the data, I determined how many neurons have significantly different firing rates between the first and second half, and the number of neurons with firing rates with significant gradients over time. .
- Project (Python)
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ENGR 100-820 [Exoskeleton Human Factors]
- Project : Post-Stroke Rehabilitation Treatment: Integrating Exoskeletons into Therapeutic Arm Exercises
-link: https://www.youtube.com/watch?v=b-bG-cjm98o
Investigated the effects of difficulty on post-stroke patients’ ability to perform elbow extension/flexions. Based on our findings, we determined that adding difficulty factors to the rehabilitation treatment - namely wider range of motion and an auditory cue - resulted in subjects performing less successful extension/flexions overall.
- Project : Post-Stroke Rehabilitation Treatment: Integrating Exoskeletons into Therapeutic Arm Exercises
Honors & Awards
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RES-MATCH (2020 Spring) Illinois Institute of Technology -
Dean’s list (2019 Fall, 2020 Spring) Illinois Institute of Technology -
University Honors (2021 Fall) University of Michigan -
Dean’s list (2021 Fall) University of Michigan -
University Honors (2021 Winter) University of Michigan -
Dean’s list (2021 Winter) University of Michigan