Northeast Student Data Corps: June 2021 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 upcoming Data Science Career Panel virtual event on Friday, June 11, 2021, 3-4 pm Eastern Time to hear the following speakers discuss their career experiences in data science.
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Northeast Student Data Corps Project Coordinators and Columbia University Student Assistants Abhishek Sinha and Haleigh Stewart
Edwood Brice, MassMutual
Edwood Brice is a second-year Junior Data Scientist in MassMutual’s Data Science Development Program (DSDP). Based in Amherst, Massachusetts, Edwood actively contributes to projects in Data Science and Advanced Analytics (DSAA) Risk & Product domain; there, he focuses on algorithmic underwriting. He is currently working towards his M.S. in Computer Science at the University of Massachusetts Amherst. Edwood graduated from UMass Amherst with a B.S. Informatics & Data Science degree in May 2019. He is primarily interested in the research, technical, commercial, and FAccT (Fairness, Accountability, and Transparency) facets of informatics and data science. In his free time, he loves to travel, break personal gym records, try out new recipes, and work with wearable technology.
Dr. Julia Stoyanovich, New York University
Julia Stoyanovich is an Assistant Professor in the Department of Computer Science and Engineering at the Tandon School of Engineering, and the Center for Data Science. She is a recipient of an NSF CAREER award and of an NSF/CRA CI Fellowship. Julia’s research focuses on responsible data management and analysis practices: on operationalizing fairness, diversity, transparency, and data protection in all stages of the data acquisition and processing lifecycle. She established the Data, Responsibly consortium, and serves on the New York City Automated Decision Systems Task Force (by appointment by Mayor de Blasio). In addition to data ethics, Julia works on management and analysis of preference data as well as querying large evolving graphs. She holds M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics and Statistics from the University of Massachusetts at Amherst.
Dr. Hsun-Hsien Shane Chang, Novartis
Dr. Hsun-Hsien Shane Chang is the Director of Data Science and Artificial Intelligence at Novartis, where he builds machine learning models to crunch clinical, imaging, and omics data. Before Novartis, Dr. Chang co-invented multiple patent applications in AI and autonomous driving technologies as the Senior Research Scientist at nuTonomy. He is an expert in signal processing, artificial intelligence, data science, machine learning, computer vision, natural language processing, graphical/network models, and Bayesian methods. As a former Harvard Medical School faculty and IEEE senior member, his domain knowledge and interests range from high tech to quantum information, to biomedical tech, to financial tech, to intellectual property, to human behaviors, to business management, to economics, to Chinese history, to politics, and to music. He holds a Ph.D. in Computer Engineering from Carnegie Mellon University, an MBA in Business Administration from National Chengchi University, and a BS in Electrical Engineering from National Tsing Hua University.