Emil Frlez

Emil Frlež http://people.virginia.edu/˜ef2p Email :-Mobile : - Education • University of Virginia Charlottesville, VA Ph. D. in Experimental Particle Physics; GPA: 3.90 • Zagreb University Zagreb, Croatia Bachelor of Science in Physics; GPA: 3.90 Experience • University of Virginia Charlottesville, VA Research Scientist ◦ Particle Physics Experiments, Collaborator: abBA/Nab, npdγ experiments (Oak Ridge National Lab, TN), PEN Experiment, R-04-01, R-89-01, (Swiss Nuclear Institute, Switzerland), (g-2) experiment (FNAL Batavia, IL), SANE, E-04-108, E04-113, E94-016 Experiment (Jefferson Lab, VA), E143, E155, E155x (Stanford Linear Accelerator Center, CA). ◦ Particle Physics Experiments, Author: Authored and co-authored 80+ papers in scientific journals. Presented invited and contributed talks at 50+ meetings and conferences. ◦ Lecturer: Designed and taught UVa Undergraduate COLA Seminar. Mentored undergraduate and graduate physics students working on M.S. and Ph.D. Theses. • University of Virginia Charlottesville, VA Research Associate ◦ Collaborator: Played major role in πβ Decay Experiment at Paul Scherrer Institute, Switzerland. Participated in project proposal, detector design, data acquisition, data analysis, and publication. ◦ Instructor: Supervised six Physics 201L/202L Laboratory teaching assistants. • University of Virginia Charlottesville, VA Research and Teaching Assistant ◦ Research Assistant - Los Alamos E1179 Experiment: Assisted with proposal writing, designed detectors, run and analyzed experimental data. 1993 Louis Rosen Prize for the best Ph.D. Thesis published by LANL. ◦ Teaching Assistant - Elementary Physics Lab: Supervised and graded Physics Lab for premedical students and engineering majors. Side Projects • Web Design, Front End Coding and Wordpress: Designed web sites enjoy-virginia.com, develop4web.com, bluelutusyoga.me. • Machine Learning: Deployed python KERAS library and TensorFlow to study lymphopenia in UVa Radiation Therapy cancer patients. Developed CCN’s for structure extraction from DICOM CT images. Programming Skills, Tools and Technologies • Physics/Medicine: CERN ROOT, ROOFIT, Multivariate Analysis, GEANT4/GEANT4-DNA, Radio-biology, DICOM, JImage/Fuji • OS: Linux, Windows 7/8/10, Virtual Machines, bash, Powershell • Languages and Tools: FORTRAN, C++, Python, R, HTML5, CSS3, Sass, JavaScript, jQuery, Wordpress, mySQL, Excel • Machine Learning/Datasets: pandas, scikit-learn, PySpark, OpenCV, TensorFlow, Keras, CNN’s, R caret, Web scraping. Kaggle contributor • Technologies and Libraries: Git, Slack, Outlook, AWS, TeX/LaTeX, Gimp, Algorithmic Trading/Quantopian