Center for Data Analytics and Biomedical Informatics
Computer and Information Sciences Depratment
Room: 334 SERC
Address 1925 N. 12th St. Philadelphia, PA 19122, USA
Phone: +1 215 204 5376
E-mail: marija < dot > stanojevic < at > temple < dot > edu
If you are interested in research collaboration, feel free to contact me. I worked with PhD students: Hannah Kim (autumn 2019) and Ameen Abdel Hai (autumn 2019), Lesley Norris (ongoing) and Francisco McGee (ongoing). I also worked with undergraduate students: Scott Glascott (summer 2017), Brian Davis (spring 2018), Duncan Copeland (spring 2019) and Jennifer Chao (spring 2019).
Ph.D., Computer and Information Sciences, Center for Data Analytics and Biomedical Informatics, Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA
In progress (expected graduation 2021)
Advisor: Prof. Zoran Obradovic
M.E., Singal Processing, Signals and Systems Department, School of Electrical Engineering, Belgrade, Serbia
Graduated: September 2017
Thesis: Determination of the similarity between the scientific papers using machine learning methods (Odredjivanje slicnosti izmedju naucnih radova primenom metoda masinskog ucenja)
Advisor: Prof. Zeljko Djurovic
B.E., Software Engineering, Department of Computer Science and Information Technology, School of Electrical Engineering, Belgrade, Serbia
Graduated: September 2016
Thesis: Implementation of web crawler in Java; generation of clusters and recommendations using machine learning algorithms
Advisor: Prof. Bosko Nikolic
Jun - Aug, 2020, Ph.D. Software Engineer Intern (Machine Learning), Facebook, Inc.
Design and implementation of a novel deep learning architecture for extreme class classification. PyTorch, Presto.
Jan, 2017 - Aug, 2020, Temple University Presidential Fellow, Center for Data Analytics and Biomedical Informatics, Department of Computer and Information Sciences, Temple University.
Jun - Aug, 2019, Ph.D. Software Engineer Intern (Machine Learning), Facebook, Inc.
Natural Language Processing at Recruiting Science Team. Technologies and methods: Python, Presto, Caffe2, fastText, deep learning, statistical NLP, internal systems.
Jun - Aug, 2018, Ph.D. Data Science Intern, Alliance Data, Conversant division.
Unsupervised clustering of large-volume spatio-temporal anonymized GPS data into clusters with stable properties (statistical analysis, meanshift/quickshift). Technologies: Hadoop, hive, python, pandas, geo and visualization libraries (folium, geopandas, shapely).
Sep, 2017 - May, 2018, Research Assistant, Center for Data Analytics and Biomedical Informatics, Department of Computer and Information Sciences, Temple University.
"Pilot to Assess Cognitive Computing to Analyze Immunization Program Data", subcontract to Abt Associates Inc, awarded by Center for Disease Control to Obradovic, Z.
Sep, 2015 - Jan, 2017, Data Software Engineer, Arbor Education Partners, Arbor Labs office.
Data gathering, cleaning, and integration followed by classification, clustering analysis and results visualization in reports and dashboards (R, Python, MySQL, D3.js). Software development with a focus on system optimization and ETL (Enterprise PhP, AWS)
- Grace Hopper Celebration (GHC) Student Scholar, 2020
- Temple University Presidential Fellowship, January 2017 - August 2020
- Broadening Participation in Data Mining travel and participation award, 2019
- Central European Exchange Program for University Studies (CEEPUS) Scholarship, 2013
- JoinEUSee (Erasmus Mundus Exchange Program) Scholarship, 2012
- German Academic Exchange Service (DAAD) Summer Course Scholarship, 2012
- Fund for Outstanding Scientific and Art Youth, Ministry of Education, Serbia, 2008-2012
- Award for the top 1% high school students in Serbia, The Royal Family of Serbia, 2010
- Fund for Young Talents, Ministry of Youth, Serbia: award for outstanding results, 2008