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