Published Jun 8, 2021

SDS 477: How to Thrive as an Early-Career Data Scientist — with Sidney Arcidiacono

Sidney Arcidiacono details her inspiring transition from aspiring doctor to AI and data science trailblazer, discussing the revolutionary impact of AI in healthcare, the importance of networking, and the practical applications of graph convolutional networks in protein sequence analysis. This episode offers invaluable insights for early-career data scientists seeking to thrive in the field.
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  • Make School

    Sidney Arcidiacono shares her unique educational journey at Make School, an innovative program offering an accelerated bachelor's degree in applied computer science. Unlike traditional universities, Make School emphasizes hands-on learning and practical skills, allowing students to complete their degree in just two years. Sidney appreciates the program's project-based approach and the opportunity to engage with peers virtually, despite the challenges of remote learning.

    Make School is like, it's a really new program, actually, they've only been a bachelor's degree program for, I think, three years now. Basically, it's an applied computer science college, meaning that it's a really project based.

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    She also highlights the vibrant campus environment in San Francisco, which offers a hybrid learning experience with unique classroom setups and a supportive community 1 2.

       

    Career Shift

    Sidney's transition into computer science was driven by her initial interest in AI and the availability of a data science track at Make School. Although the data science curriculum is still developing, she has played a significant role in shaping it, working alongside instructors to build the program. Her journey from a pre-medical path to AI reflects her adaptability and passion for learning.

    I knew that I wanted to do AI, but did I know what that meant? No, not really.

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    Previously, Sidney was pursuing a career in medicine, working as a phlebotomist in Michigan before moving to California. Her experience in healthcare has influenced her interest in utilizing AI for medical applications 3 4.

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