National Student Data Corps: April 2022 Data Science Student 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 from other data science students about their journeys and why they are data science enthusiasts! Launched by the National Student Data Corps, the Data Science Panel webinar series features professionals and students who are data enthusiasts 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.
In honor of Community College Month, join us at our upcoming Data Science Student Panel virtual event on Friday, April 29th, 2022, 3-4:30 pm Eastern Time to hear the following students discuss their educational and professional experiences in data science.
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Benjamin Sango, Undergraduate senior at Columbia University and Student Assistant of the Northeast Big Data Innovation Hub, and Haleigh Stewart, Undergraduate senior at Columbia University and National Student Data Corps Project Coordinator
Bilal Abdulrahman, The Graduate Center – City University of New York
Bilal is a recent graduate from a Data Science Master’s program at the CUNY Graduate Center, and will be starting his PhD in Computer Science with a focus on AI/ML and computer vision. Bilal has a diverse portfolio when it comes to work experience having worked in customer service, business development, team management, project implementation and research. He has contributed to the submission of 4 research papers, being first author on 2 of them, collaborating with distinguished individuals from different branches of computer science and has decided to pursue a career in research.
Jay Philbrick, Brown University
Jay Philbrick is a sophomore at Brown University, studying Applied Mathematics-Economics and Computer Science, having previously earned an Associate’s Degree from the University of Maine at Presque Isle in a joint program with his high school, the Maine School of Science and Mathematics. He has a passion for using data science to improve public policy, and has held research internships with the White House’s Council of Economic Advisers, the U.S. Department of Health and Human Services, and the Governor’s Economic Recovery Committee in the State of Maine. This summer, he will be interning at the Federal Reserve Bank of Boston, using data science and natural language processing techniques to study corporate behavior.
Jiawei Liu, The City College of New York
Jiawei Liu is a graduate student at The City College of New York with a passion for data mining, computer vision, and artificial intelligence. He recently completed undergraduate coursework at Zhanjian Ocean University in China, and then decided to continue his studies at CCNY to complete a program to receive a Master’s Degree in Data Science and Engineering. Jiawei has also been a member of the City College Visual Computing Laboratory since 2021, where his research focuses on crowdsourcing, geographic data analysis, machine learning and computer vision. He has worked on long-term projects, where he has used Google services and artificial intelligence to build a crowdsourcing-based web application that collects large-scale datasets of storefront accessibility information aimed at improving the travel experience for people with visual impairments.
Jin Chen, The City College of New York
Jin Chen is the co-founder and director of AI at Nearabi, the world’s most accurate augmented reality-enabled indoor navigation technology. In this role, Jin builds the core navigation app and integrates 3-D computer vision, machine learning, and augmented reality to develop a precise localization technique. After completing her Bachelor’s Degree in Computer Science and Applied Mathematics, she continues to earn a Master’s in Data Science and Engineering at the City College of New York. Jin is passionate about data-driven solutions for individual and business problems, especially in assistive applications for people with disabilities. Jin has also been a member of the City College Visual Computing Laboratory since 2017, where her research interests include emotion recognition, obstacle detection, and navigation guide for the visually impaired.
Sivan (Siwen) Ding, Columbia University
Sivan graduated from Wuhan University with a degree in Energy Engineering with honors in 2021. When she found a way to combine her enthusiasm for music and technology in music information studies, she switched her career path from engineering to data science, or more specifically, jumped right into the field of Music AI. Leveraging her previous studies in statistics, data mining, machine learning, reinforcement learning, and deep learning, she has project experience in NLP, music representation learning, and data mining analysis data sonification. Such projects have offered Sivan a new vision for the application of data science in music, and she has determined to enhance people’s music experience through a data science approach.
Check back soon to view more panelists!