Vincent Yim

*** ******* **. ***# * Acton, MA***** 978-***-**** ac7bvo@r.postjobfree.com

Education:

University of Missouri, Columbia, M. Eng. in Computer Engineering, GPA major: 3.68/4.00 2018

• Relevant coursework: Intro. to Machine Learning, Supervised Machine Learning, Computer Vision, Data Mining University of Massachusetts, Amherst, BS in Physics, GPA major: 3.22/4.00 2011

• Relevant coursework: Linear Algebra, Advanced Calculus, Statistical Mechanics, Computational Physics Employment and Research Experience:

Research Assistant, University of Missouri, Columbia, Missouri January 2016 - July 2018 Computer Intelligence Research Laboratory; Supervisor: James Keller

• Performed data analysis and pre-processing including data visualization, normalization, and selection.

• Applied various feature extraction and machine learning techniques including Decision Tree, Support Vector Machine, and Neural Networks for data classification using MATLAB and Python.

• Trained, validated, and tested both 2-D and 3-D images with deep learning techniques including ConvNet and ResNet using MATLAB and Tensorflow.

• Implemented Newton’s optimization method for Fuzzy C-means clustering to detect clusters’ number. Teaching assistant (Physics I/II), University of Missouri, Columbia, Missouri August 2013 - May 2015 Department of Physics; Supervisor: Yun Zhang

• Independently led, monitored, and managed physics experiments for science and engineering college students.

• Assisted students with problems solving, understanding physics concepts, and troubleshot technical difficulties of various equipment including power generator, circuitry, and oscilloscope.

• Set up various experiments including electromagnetic phenomena, circuits, Young’s double-slit, and optics. National Institute of Health, Post Baccalaureate Research Program (PREP), June 2011 – June 2013 Icahn School of Medicine at Mount Sinai, New York, New York; Supervisor: Kevin Costa

• Collected and analyzed various mappings of cardiac myocytes using the Atomic Force Microscopy (AFM).

• Implemented algorithms for image reconstruction of cardiac myocytes’ stiffness maps.

• Designed and built a phase-contrast microscope for biomedical research imaging. Relevant class projects:

Supervised Learning class (Kaggle, Painter by Numbers):

• “Determine Artistic Style using Deep Learning”.

Computer Vision class (ISBI 2017 Challenge):

• “Segmentation and Classification of melanoma skin lesions using SegNet and ResNet”. Other Qualifications:

• Programming/Software: Expert in MATLAB (various toolboxes); Frequent user of Python (including Pandas, Scikit-Learn, Tensorflow), MS Office, Linux/Unix, Git; Basic knowledge of Java, C++, Apache Spark, and SQL.

• Languages: Fluent in French and Khmer.

Awards and honors:

• O.M Stewart scholarships from the physics department, University of Missouri.

• NIH funded Post-Bac. Research Education Program (PREP) position at Icahn School of Medicine at Mount Sinai. Physical activities and hobbies:

• Soccer coach U11 and U13 at Synergies Sports, Columbia, Missouri

• Brown belt in Taekwondo with the American Taekwondo Association

• 10k finisher at the 2nd Angkor Empire Marathon 2015