Northeast Student Data Corps: Inaugural Data Science Career Panel
Do you like to solve problems, but wish you knew how data could help you? Are you thinking about pursuing data science but don’t know where to start? Learn more about why you should leverage data science for good. Newly launched by our Northeast Student Data Corps, the Data Science Career Panel webinar series features experts from academia, government, industry, and nonprofits who share their experiences learning and using data science. These virtual events aim to highlight the wide range of educational opportunities and career paths available in data science and data analytics.
Join us at our first Data Science Career Panel virtual event on Friday, February 19, 2021, 3-4 pm Eastern Time to hear the following speakers discuss their career experiences in data science.
Register now at http://bit.ly/20210219-DATA.
Northeast Big Data Innovation Hub Executive Director Florence Hudson and Columbia University Student Assistant Haleigh Stewart
Amen Ra Mashariki, a Northeast Big Data Innovation Hub Advisory Board member, is Global Director of the Data Lab at the World Resources Institute. There he works across programs, international offices and centers to identify data solutions to turn big ideas into action to sustain our natural resources. Amen Ra is also a Data + Digital fellow at the Beeck Center for Social Impact and Innovation at Georgetown University where he partners with academic, public and private sector thought leaders to shape best practices and strategies on how to use data to maximize impact in our communities. Amen Ra’s previous roles include the Head of Urban Analytics at Esri, Chief Analytics Officer for the City of New York, and Former White House Fellow.
Daniel Balouek-Thomert is a Research Associate and Lecturer at Rutgers Discovery Informatics Institute at Rutgers University. Daniel teaches introductory computer science courses, and his research interests lie in resource management in the area of distributed systems with a particular focus on cloud/edge computing and the Internet of Things. He earned his Ph.D. in Computer Science from the Ecole Normale Supérieure de Lyon (France) as part of the Inria AVALON research team in 2016.
Zoran Obradovic is a Distinguished Professor and a Director for the Center of Data Analytics and Biomedical Informatics at Temple University, an Academician at the Academia Europaea, and a Foreign Academician at the Serbian Academy of Sciences and Arts. He has mentored 45 postdoctoral fellows and Ph.D. students, many of whom have independent research careers at academic institutions, including Northeastern University and the Ohio State University, as well as industrial research labs at Amazon, Facebook, Hitachi Big Data, IBM T.J.Watson, Microsoft, Yahoo Labs, Uber, Verizon Big Data, and Spotify. Zoran is the editor-in-chief at the Big Data journal, an editorial board member at 13 journals, and was the general chair, program chair, or track chair for 11 international conferences. His research interests include data science and complex networks in decision support systems addressing challenges related to big, heterogeneous, spatial and temporal data analytics motivated by applications in healthcare management, power systems, earth and social sciences.
Marija Stanojevic is a Ph.D. student and Research Assistant at the Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, US. Her main research focus is the representation and generation of sequences with applications in textual and biological data. Marija’s interests are machine learning, deep learning, natural language processing, transfer learning, data mining, and education. Marija is an upcoming machine learning intern at Linkedin. During the Ph.D. studies, she has done an internship at Alliance Data Systems and two internships at Facebook. Before coming to Temple, she worked for two years in the industry as a software engineer. Marija finished her master’s studies in signal processing and bachelor’s studies in software engineering at the School of Electrical Engineering, University of Belgrade, Serbia.